Offres d’emploi à Maurice
Family Office Executive
About W8 Advisory W8 Advisory is a unique wealth management practice established and managed by Africans, operating in the best stewardship tradition of a Multi-Family Office. Our mission is to serve the complex and unique needs of ultra-high net worth African entrepreneurs by presenting wealth management solutions that assist with preserving their wealth for the next generation. We work closely with each client to offer insight into their wealth management, provide critical decision-making information, and support them in successfully managing and growing their wealth. W8 Advisory has been consistently featured in the Spears 500 as a Top Recommended Family Office Service for the past five years. Role Description This is a full-time, fully remote position for a Family Office Executive at W8 Advisory. The successful candidate will take ownership of a broad range of responsibilities spanning wealth structuring, trust and estate planning, family governance, and bespoke legal and administrative client solutions. You will work closely with a small, expert team, playing a central role in delivering W8 Advisory’s high-touch family office service. Key Responsibilities • Provide solutions wealth structuring and preservation strategies, including cross-border and multi-generational considerations. • Provide guidance on estate and succession planning tailored to the needs of high net worth individuals and families. • Develop and implement family governance frameworks, including family constitutions, shareholder agreements, and family council structures. • Deliver bespoke legal and administrative solutions to clients in the capacity of a Family Office Executive. • Liaise with external advisers including lawyers, tax specialists, accountants, and trustees on behalf of clients. • Prepare and review client-facing documentation, reports, and correspondence to a high professional standard. • Identify opportunities to enhance client service delivery and contribute to the ongoing development of W8 Advisory’s practice. Qualifications & Experience • STEP qualification — compulsory. • Minimum 3 years; experience in wealth management, private client advisory, or a related field. • Strong knowledge of wealth structuring and trust and estate planning principles. • Bachelor’s degree or equivalent — highly desirable. (Law degree is preferred) • Background as a Trust Officer, Trainee or Qualified Private Client Solicitor, Paraplanner, or Legal Executive in a private client practice — highly desirable. • Strong analytical and problem-solving abilities with meticulous attention to detail. • Excellent written and verbal communication skills, with the ability to convey complex matters clearly to clients. • Comfortable working independently in a remote environment, and collaborating effectively as part of a small team. • Discretion and professionalism in handling sensitive client information. To apply please send a cover letter and CV to bernadette@w8advisory.com.
Senior Data Engineer (Analytics | Remote) (Maurice)
🧬 About Us We’re iubenda, the team turning compliance into a growth engine. We help over 110K businesses all around the world build trust, boost performance, and grow without limits. Now part of team.blue ( https://team.blue/ ) , we’re scaling privacy tech with confidence, creativity, and a little bit of attitude. Join a team that moves fast, thinks big, and makes privacy feel exciting again! The proposed salary range (the final offer will be based on experience and seniority) is €26,500 – €40,000 gross annual total compensation , plus benefits (as listed in the relevant section below). 🎯 Mission & Core Purpose We’re looking for an experienced Senior Data Engineer to own the design and build of iubenda’s data infrastructure from the ground up. You will be the founding force behind a comprehensive Data Warehouse solution, turning raw data streams from our product, marketing, and business operations into clean, reliable, and insightful data assets. Reporting to the Director of Platform Engineering , you will partner with Marketing, Product, and Growth teams to build scalable analytics foundations that power data-driven decisions across the entire company. 💼 Key Responsibilities - Architecting and building iubenda’s Data Warehouse from scratch - defining the overall data architecture, modeling conventions, governance standards, and a scalable technical stack that can grow with the company. - Designing and implementing end-to-end data pipelines (dbt) that ingest, transform, and serve raw event logs, product data, and third-party sources as canonical, reliable datasets. - Owning the Marketing Analytics data engineering domain : owning the data pipelines and configuration of backend and frontend SDKs and middleware elements that lead data to advertising platforms and iubenda data warehouse, enabling the measurement of campaign performance, attribution, funnel conversion, and A/B testing. - Building foundational data infrastructure that empowers Data and Revenue Analysts from Finance, Marketing, Product, and Sales teams to independently build dashboards, explore data, and make informed decisions utilizing tools like PowerBI. - Establishing high data integrity standards, SLAs, alerting mechanisms, and documentation practices to ensure timely, accurate, and trustworthy data delivery across all consumers. - Defining and executing the strategic roadmap for data foundations and analytics capabilities, translating stakeholder needs into prioritised technical requirements, and serving as the internal technical thought leader for data modeling, ETL processes, and the modern data stack. - Partnering with Engineering and Product to understand how users interact with iubenda’s products, instrumenting data pipelines correctly from the source, and transforming event logs into insightful data marts. - Becoming the internal expert on iubenda’s data architecture - owning the full lifecycle from data instrumentation to production-ready, reporting-grade datasets compatible with existing finance and group-level data schemas. 👤 Your Profile You have experience in scale-up environments (SaaS experience is a plus) and a proven track record of building data infrastructure from an early stage. You combine deep technical data engineering skills with a strong ability to understand business needs - especially across Marketing, Finance, and Product. You take ownership, move fast, and don’t let perfect be the enemy of effective. 💡 Experience & Skills • 6+ years of experience as a Data Engineer or in a similar role, preferably in a SaaS scale-up, and strong exposure to Analytics needs from stakeholders. • Deep expertise in SQL and Python for transforming raw data into clean, accurate, and performant data models. • Proven track record of architecting and building a Data Warehouse or analytics infrastructure from scratch, including data modeling standards, governance frameworks, and the definition of a modern data stack. • Strong expertise in Marketing Analytics is required. Topics like hands-on integration with marketing platforms (Google Ads, Meta, HubSpot, Salesforce, or similar) are important, while attribution modeling, funnel analysis, and campaign performance are a plus. • Proficiency in dbt for building and managing multi-layer data transformations (staging, intermediate, and mart layers), including testing and documentation. • Experience with workflow orchestration tools such as Airflow or equivalent platforms. • Hands-on experience with modern cloud data warehouses: e.g., Snowflake, BigQuery, or Redshift. • Experience enabling the construction of insightful dashboards and self-serve reporting in visualization platforms such as PowerBI, Tableau, or similar for Data Analyst partners. • Ability to define and execute a strategic roadmap for data foundations - setting technical priorities, establishing data governance, and driving best practices across the organisation. • A “full-stack mindset”: not hesitating to do what it takes to solve a problem end-to-end, even if it goes outside the original scope. • A strong bias for action and the ability to thrive in ambiguity, taking initiative to create clarity and forward progress. • Excellent written and verbal communication skills in English, with the ability to translate complex technical concepts for non-technical stakeholders. 🌐 Location At iubenda we believe in remote-first work. While you can work from anywhere in Mauritius, we encourage regular in-person collaboration at our Port Louis office, typically once per week. This role involves working with the team on CET hours, meaning your schedule will align with this time zone to ensure smooth collaboration. 🎁 Benefits • Healthy work-life balance 🌴 We offer a remote-first employment agreement with a 40-hour workweek, 22 paid days off (increasing to 25 from the second year), plus national holidays, all to help you thrive both professionally and personally. • Company retreats 🏔️ Once a year, we hold fully paid, week-long retreats in beautiful locations such as Venice, Athens, and Palermo, where we work, connect, and recharge together. • All-in-One flex budget 💳 A yearly sum of up to 1.000€ that you can tailor to your personal needs, whether it’s private health coverage, meal vouchers, childcare, learning, fitness, or other lifestyle choices. You can invest in what matters most to you (total amount, availability of specific services, payment method, and taxability may vary depending on local regulations). • Work equipment supply scheme 💻 A policy designed to help you create the perfect setup and perform at your best. • Collaborative, multicultural team 🧩 Join a team of talented, international colleagues in a friendly, open, and highly collaborative environment. Please send your CV in English. Want to know more about iubenda? Check us out at: iubenda.com | LinkedIn | Facebook | Twitter Privacy By applying, you hereby declare that you have read and understood our privacy policy (https://www.iubenda.com/privacy-policy/96274994). To ensure a fair selection process and verify your identity, we may ask you during video interviews to disable virtual backgrounds or filters, show an ID, or answer follow-up questions. If you need an alternative arrangement, please let us know, and we will accommodate.
FORWARD DEPLOYED AI ENGINEER (FDE) (H/F)
BEFORMA FOAD LTD RECRUTE — FORWARD DEPLOYED AI ENGINEER (FDE) Île Maurice Candidatures internationales bienvenues Français professionnel indispensable Anglais professionnel / technique 70 000 à 100 000 MUR brut/mois selon profil et expérience Vous êtes développeur, mais le code seul ne vous suffit plus ? Vous aimez comprendre comment fonctionne une entreprise, échanger avec des dirigeants, identifier leurs problèmes et construire des solutions technologiques qui ont un véritable impact ? BE4AI recherche son/sa Forward Deployed AI Engineer. Un profil encore rare, à la croisée de trois univers : BUSINESS × AI × ENGINEERING Notre objectif chez BE4AI est simple : aider les entreprises à transformer concrètement leurs processus grâce à l’intelligence artificielle. Nous ne cherchons donc pas uniquement quelqu’un capable de développer. Nous recherchons quelqu’un capable de comprendre un problème métier, imaginer la solution, la construire, la déployer et mesurer son impact. VOTRE MISSION Vous travaillerez directement avec nos clients et leurs équipes pour comprendre leur fonctionnement et identifier les opportunités offertes par l’IA et l’automatisation. Un dirigeant vous explique par exemple : « Mes commerciaux passent énormément de temps à traiter les demandes entrantes, les informations sont mal renseignées dans notre CRM et nous perdons des prospects. » Votre travail commence ici. Vous posez les bonnes questions. Vous cartographiez le processus. Vous identifiez les points de friction. Vous estimez la valeur potentielle. Puis vous concevez et construisez la solution : Agent IA + automatisation + CRM + API + règles métier + supervision humaine + reporting. Chez BE4AI, un PowerPoint n’est pas un projet terminé. Le projet est terminé lorsque la solution fonctionne réellement dans l’entreprise. VOS RESPONSABILITÉS Vous serez notamment amené(e) à : • analyser les processus d’une entreprise : commercial, administratif, RH, marketing, relation client, formation, finance, gestion documentaire… • conduire des ateliers de découverte avec des dirigeants, managers et utilisateurs ; • identifier les tâches répétitives, chronophages ou à faible valeur ajoutée ; • détecter les opportunités d’automatisation et d’utilisation de l’IA ; • transformer les besoins métiers en spécifications fonctionnelles et techniques ; • concevoir des agents et assistants IA ; • construire des workflows automatisés ; • connecter différents logiciels grâce aux API et webhooks ; • intégrer des solutions IA aux CRM, ERP et outils métiers ; • développer rapidement des prototypes ; • tester les solutions avec les utilisateurs ; • déployer les solutions en environnement réel ; • former et accompagner les équipes ; • mesurer les résultats et améliorer continuellement les solutions. Notre méthode : DISCOVERY → ANALYSE → BUILD → TEST → DEPLOY → MEASURE → IMPROVE 🛠️ ENVIRONNEMENT TECHNOLOGIQUE Selon les projets, vous pourrez travailler avec : IA / LLM OpenAI, Claude, Gemini et autres modèles Automation / Orchestration n8n, Make ou solutions équivalentes Development Python, JavaScript et technologies adaptées aux projets Data & Integration API REST, Webhooks, SQL, bases vectorielles, RAG Business Tools CRM, ERP, SaaS et outils collaboratifs La connaissance d’Odoo constitue un plus. Nous ne cherchons toutefois pas quelqu’un qui maîtrise tous les outils existants. Nous cherchons quelqu’un capable d’apprendre vite, d’expérimenter et de choisir la bonne technologie pour résoudre le bon problème. 👤 LE PROFIL RECHERCHÉ Vous avez idéalement une formation supérieure : 🎓 Master / Bac+5 🎓 École d’ingénieur 🎓 Informatique / Data / IA 🎓 Transformation digitale Un MBA / Executive MBA / Master en management, stratégie ou entrepreneuriat constitue un véritable avantage , car la compréhension de l’entreprise est essentielle dans ce métier. Mais le diplôme ne remplacera jamais la capacité à faire. Une expérience significative et démontrable pourra donc également être considérée. 💼 VOUS DEVEZ AIMER LE BUSINESS AUTANT QUE LA TECHNOLOGIE C’est probablement le point le plus important de cette annonce. Nous recherchons quelqu’un capable de comprendre : • comment fonctionne une entreprise ; • comment circule l’information ; • comment fonctionne un processus commercial ; • comment travaillent les équipes ; • comment fonctionne un CRM ou un ERP ; • pourquoi certaines tâches font perdre du temps ; • comment transformer un besoin opérationnel en solution technique ; • comment calculer la valeur et le ROI d’une automatisation. Une expérience en conseil, transformation digitale, intégration ERP/CRM, SaaS B2B, entrepreneuriat ou gestion de projets technologiques sera particulièrement appréciée. 🇫🇷 FRANÇAIS PROFESSIONNEL INDISPENSABLE Une grande partie de nos clients étant francophones, vous devez pouvoir conduire une réunion en français, comprendre précisément un besoin métier, challenger un dirigeant, reformuler un processus et présenter une solution. Vous n’avez pas besoin d’être francophone natif. Mais vous devez être parfaitement à l’aise dans un environnement professionnel francophone. 🇬🇧 Un très bon niveau d’anglais est également fortement apprécié, notamment pour évoluer dans l’écosystème technologique international. 🌍 VOUS N’HABITEZ PAS ENCORE À MAURICE ? Ce n’est pas nécessairement un problème. Le poste est également ouvert aux candidatures internationales souhaitant s’installer à l’Île Maurice , sous réserve d’éligibilité aux autorisations de travail applicables. Le poste est basé à Maurice, avec une organisation permettant de réaliser une grande partie des missions à distance. Vous travaillerez notamment sur des projets à : 🇲🇺 Maurice 🇷🇪 La Réunion 🇫🇷 France Des déplacements ponctuels pourront être organisés chez nos clients. 💰 RÉMUNÉRATION 70 000 à 100 000 MUR brut/mois selon expérience et expertise. Une rémunération supérieure pourra être envisagée pour un profil particulièrement expérimenté. 🚀 POURQUOI REJOINDRE BEFORMA ? Parce que nous voulons aller beaucoup plus loin que simplement apprendre aux entreprises à utiliser ChatGPT. Notre ambition est de transformer leurs processus grâce à l’intelligence artificielle. Vous aurez l’occasion de travailler directement avec des entrepreneurs et des dirigeants. Vous aurez de l’autonomie. Vous expérimenterez de nouvelles technologies. Vous construirez des solutions concrètes. Et surtout : vous verrez directement l’impact de ce que vous construisez. 🧪 NOTRE RECRUTEMENT Votre CV nous intéresse. Mais votre manière de réfléchir nous intéresse encore davantage. Notre processus comprendra notamment un Business Case en français . Nous vous présenterons une problématique réelle d’entreprise. À vous de : 1️⃣ comprendre le problème ; 2️⃣ poser les bonnes questions ; 3️⃣ identifier les opportunités IA ; 4️⃣ proposer une architecture ; 5️⃣ imaginer ou prototyper la solution ; 6️⃣ nous la présenter comme si nous étions votre client. Nous évaluerons autant votre compréhension du business que votre niveau technique. 📩 INTÉRESSÉ(E) ? Envoyez-nous : • votre CV ; • votre profil LinkedIn ; • votre GitHub / portfolio si vous en avez un ; • quelques exemples de projets réalisés. Et répondez simplement à cette question : « Quel processus d’entreprise avez-vous déjà amélioré grâce à la technologie, à l’automatisation ou à l’intelligence artificielle ? » 📍 Poste basé à l’Île Maurice 🏢 Employeur : BEFORMA FOAD LTD Forward Deployed AI Engineer • Understand the business. Build the solution. Deploy the impact. 🚀
Poste de Maître de Conférences - Université d'Artois
UFR/IUT/EIA Faculté des sciences Faculté des Sciences Appliquées UFR Lettres et Arts UFR de Langues étrangères UFR d'Histoire Géographie Patrimoines UFR EGASS UFR de Droit UFR STAPS IUT DE LENS IUT DE BÉTHUNE École d'Ingénieurs de l'Artois intranet ENT webmail Webmail du personnel Webmail des étudiants BIBLIOTHÈQUES PRESSES UNIVERSITAIRES EN ES 中文 Formations Catalogue des formations Admission Inscription Transfert Alternance La formation continue Innovation pédagogique Maison des langues Certifications Taxe d'apprentissage Catalogue des formations Admission Inscription Transfert Alternance La formation continue Innovation pédagogique Maison des langues Certifications Taxe d'apprentissage La Recherche Actualités Nos enseignants-chercheurs dans les médias Les Domaines d'Intérêt Majeur (DIM) Laboratoires et Instituts Les études doctorales La Maison de la Recherche Appels à projets image Appels à projets recherche Projets européens Artois Presses Université - Revues Science ouverte Programmes et équipements prioritaires de recherche (PEPR) Le label HRS4R / The HRS4R Award Actualités Nos enseignants-chercheurs dans les médias Les Domaines d'Intérêt Majeur (DIM) Laboratoires et Instituts Les études doctorales La Maison de la Recherche Appels à projets image Appels à projets recherche Projets européens Artois Presses Université - Revues Science ouverte Programmes et équipements prioritaires de recherche (PEPR) Le label HRS4R / The HRS4R Award Vie étudiante Vie pratique Événements culturels Associations étudiantes Sport Santé Études et handicap Dispositifs de soutien aux étudiants Les projets CVEC Égalité / VSS Vie pratique Événements culturels Associations étudiantes Sport Santé Études et handicap Dispositifs de soutien aux étudiants Les projets CVEC Égalité / VSS International Actualités des RI Stratégie internationale Partir à l'étranger Venir étudier à l'Université d'Artois Alliances européennes Obtenir le label Qualité International Témoignages Contacts Institut Confucius Actualités des RI Stratégie internationale Partir à l'étranger Venir étudier à l'Université d'Artois Alliances européennes Obtenir le label Qualité International Témoignages Contacts Institut Confucius Réussite et insertion Réussir ses études Liaison collèges, lycées / université De l'université à l'emploi Observatoire de la Vie Etudiante La Licence Compétences en Réseaux (LCeR) Réussir ses études Liaison collèges, lycées / université De l'université à l'emploi Observatoire de la Vie Etudiante La Licence Compétences en Réseaux (LCeR) L'université Informations générales Organisation Venir à l'université Recrutements Calendrier des conseils, bureaux et commissions Actes réglementaires Transition écologique et solidaire L'alliance A2U Risques Psycho-Sociaux Égalité / VSS Artois Mag' Le Muséolab Informations générales Organisation Venir à l'université Recrutements Calendrier des conseils, bureaux et commissions Actes réglementaires Transition écologique et solidaire L'alliance A2U Risques Psycho-Sociaux Égalité / VSS Artois Mag' Le Muséolab BIBLIOTHÈQUES PRESSES UNIVERSITAIRES EN ES 中文 Futur étudiant Etudiant à l'Université d'Artois Etudiant international En reprise d'études / Formation continue Chercheur /enseignant chercheur Entreprise / Partenaire Affiner votre recherche Suivez-nous sur facebook Suivez-nous sur linkedin Suivez-nous sur youtube Suivez-nous sur instagram Recrutement de professeurs des universités et maîtres de conférences | session synchronisée Accueil L'université Recrutements Campagne de recrutement session synchronisée de 9 maîtres de conférences et de 6 Professeurs des Universités Affectation au 1er septembre 2026 La candidature s'effectuera par voie télématique sur le site internet du Ministère Odyssée du mardi 03 mars 2026 à 10 heures (heure de Paris) jusqu'au vendredi 03 avril 2026 à 16 heures (heure de Paris). → Se connecter à Odyssée Les postes sont ouverts aux personnes 'Bénéficiaires de l'Obligation d'Emploi' mentionnés à l'article 27 de la loi 84-16 du 11 janvier 1984 modifiée portant dispositions statutaires relatives à la fonction publique de l'État (situations de handicap). La campagne de recrutement est dématérialisée : Aucun document papier ne sera accepté Pour connaître l’ensemble des pièces nécessaires à la constitution du dossier de candidature, veuillez vous reporter à l'arrêté du 06 février 2023 relatif aux modalités générales des opérations de mutation, de détachement et de recrutement par concours . ► Arrêté du 6 février 2023 relatif aux modalités générales des opérations de mutation, de détachement et de recrutement par concours des maîtres de conférences, des professeurs des universités et des chaires de professeurs juniors : https://www.legifrance.gouv.fr/jorf/id/JORFTEXT000047183295 Les candidats doivent déposer leur dossier sur Odyssée en une seule fois et non en deux fois s'ils étaient retenus pour l'audition comme auparavant. IMPORTANT : Merci de préciser dans la présentation analytique des travaux, ceux que vous souhaitez présenter si vous êtes retenu pour audition, afin que les membres des COS puissent avoir une meilleure visibilité . Le tableau ci-dessous récapitule le numéro Odyssée de l'emploi mis au concours, la fiche du poste et la composition du Comité de Sélection (COS). Composante & Laboratoire Corps & Section CNU Article de recrutement Libellé section Fiche profil de poste Calendrier des réunions des auditions Composition COS UFR Lettres et Arts Grammatica PR 07 46 1°/ Sciences du langage : linguistique et phonétique générales Télécharger la fiche 21 mai 2026 à partir de 14H00 à Arras. Télécharger la composition UFR Lettres et Arts Textes et Cultures PR 18 46 1°/ Architecture (ses théories et ses pratiques), arts appliqués, arts plastiques, arts du spectacle, épistémologie des enseignements artistiques, esthétique, musicologie, musique, sciences de l'art Télécharger la fiche 20 mai 2026 à partir de 13H00 à Arras. Télécharger la composition UFR Sciences CRIL PR 27 46 1°/ Informatique Télécharger la fiche 21 mai 2026 à partir de 09H30 à Lens. Télécharger la composition FSA LGCgE PR 60 46 1°/ Mécanique, génie mécanique, génie civil Télécharger la fiche 12 mai 2026 à partir de 09H00 à Béthune. Télécharger la composition IUT Béthune LSEE PR 63 46 1°/ Génie électrique, électronique, photonique et systèmes Télécharger la fiche 04 mai 2026 à partir de 14H00 à Béthune. Télécharger la composition UFR Droit CDEP MCF 01 26-I-1 Droit privé et sciences criminelles Télécharger la fiche 21 mai 2026 à partir de 09H30 à Douai. Télécharger la composition UFR Langues Textes et Cultures MCF 11 26-I-1 Langue et littérature française Langues et littératures anglaises et anglo-saxonnes Télécharger la fiche 21 mai 2026 à partir de 09H00 à Arras. Télécharger la composition UFR Lettres et Arts Textes et Cultures MCF 18 26-I-1 Architecture (ses théories et ses pratiques), arts appliqués, arts plastiques, arts du spectacle, épistémologie des enseignements artistiques, esthétique, musicologie, musique, sciences de l'art Télécharger la fiche 21 mai 2026 à partir de 09H00 à Arras. Télécharger la composition EIA LML MCF 25 et 26 26-I-1 Mathématiques. Mathématiques appliquées et applications des mathématiques. Télécharger la fiche 18 mai 2026 à partir de 09H00 à Lens. Télécharger la composition UFR Sciences Jean Perrin UCCS MCF 28 26-I-1 Milieux denses et matériaux. Télécharger la fiche 12 mai 2026 à partir de 10H00 à Lens. Télécharger la composition IUT Béthune LGCgE MCF 60 26-I-1 Mécanique, génie mécanique, génie civil Télécharger la fiche 04 mai 2026 à partir de 14H00 à Béthune. Télécharger la composition IUT Béthune LGI2A MCF 61 et 27 26-I-1 Génie informatique, automatique et traitement du signal. Informatique. Télécharger la fiche 18 mai 2026 à partir de 09H00 à Béthune. Télécharger la composition IUT Béthune LSEE MCF 63 26-I-1 Génie électrique, électronique, photonique et systèmes Télécharger la fiche 20 mai 2026 à partir de 09H00 à Béthune. Télécharger la composition UFR STAPS URePSSS MCF 74 26-I-1 Sciences et techniques des activités physiques et sportives Télécharger la fiche 19 mai 2026 à partir de 13H00 à Arras Télécharger la composition Envoyer L'université Informations générales Chiffres clés / statistiques Rapport Social Unique (RSU) Paiement par carte bancaire Marchés et Achats publics Liste des marchés conclus par années - supérieurs à 20 000 € HT Liste des marchés conclus par années - supérieurs à 25 000 € HT Médiateur Travail et handicap Organisation Calendrier des conseils Services de l'université Le comité technique Organigrammes Venir à l'université Site universitaire d'Arras Arras - PMR Arras - Venir à pied Arras - Venir en vélo Arras - Venir en train Arras - Venir en bus Arras - Venir en voiture Site universitaire de Béthune Béthune - PMR Béthune - Venir à pied Béthune - Venir en vélo Béthune - Venir en train Béthune - Venir en bus Béthune - Venir en voiture Site universitaire de Douai Douai - PMR Douai - Venir à pied Douai - Venir en vélo Douai - Venir en train Douai - Venir en bus Douai - Venir en voiture Site universitaire de Lens Lens - PMR Lens - Venir à pied Lens - Venir en vélo Lens - Venir en train Lens - Venir en bus Lens - Venir en voiture Site universitaire de Liévin Liévin - PMR Liévin - Venir à pied Liévin - Venir en vélo Liévin - Venir en train Liévin - Venir en bus Liévin - Venir en voiture Recrutements Concours ITRF Affectation des enseignants 2nd degré Recrutement de professeurs et maîtres de conférences (session synchronisée) Recrutement des ATER Recrutement des MAST/PAST Recrutement BOE Calendrier des conseils, bureaux et commissions Actes réglementaires Délibérations des instances Délibérations des instances 2026 Délibérations des instances 2025 Délibérations des instances 2024 Délibérations des instances 2023 Délibérations des instances 2022 Délibérations des instances 2021 Délibérations des instances 2020 Délibérations des instances 2019 Arrêtés de nomination Lettres de mission des Vice-Présidents Arrêtés de délégations de pouvoir Arrêtés de délégation de signature Arrêtés HSST / prévention des risques Statuts et règlement intérieur de l'université Parcoursup : conditions d'accès en 1ère année Transition écologique et solidaire Schéma directeur DD&RSE Actualités Mobilité durable Le tri sélectif à l'université Bilans Carbone et GES Refuge de la LPO L'alliance A2U Licence Compétences en Réseaux Risques Psycho-Sociaux Égalité / VSS Initiation à l'autodéfense Concours I consent Conférences, évènements Violences sexistes et sexuelles Qu'est-ce qu'une VSS ? Dispositif de lutte contre les VSS à l'université Changement de prénom Ressources, plan d'action Le point sur l'égalité Artois Mag' Le Muséolab Contacts Pour tout renseignement complémentaire d'ordre administratif, veuillez-vous rapprocher du bureau de gestion des enseignants-chercheurs : recrutement-enseignants@univ-artois.fr François DUPONT-SERGENT Tel. 03.21.60.49.53. Sylvie LEGRAND Tel. 03.21.60.38.69 Valérie MONCEL Tel. 03.21.60.60.54 Elodie MERLOT BOULINGUEZ Tel. 03.21.60.60.45 Julie MOLMY Tel. 03.21.60.37.51 Envoyer Envoyer ceci par email Université d’Artois 9 Rue du Temple BP 10665 62030 Arras cedex - France Tél. +33 (0)3 21 60 37 00 Formations La Recherche Vie étudiante International Réussite et insertion L'université Marchés achats ArtoisTV Mentions légales Données personnelles Contacts Plan du site Accessibilité Suivez-nous ! 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Chargé(e) de Gestion Consultant – Portage Salarial
Freeland est un groupe français de référence dans l’accompagnement des indépendants et des entreprises. À travers ses marques reconnues, dont ITG, Links Consultants, Freelance Informatique et Codeur.com, le groupe propose des solutions de portage salarial, de staffing et de mise en relation professionnelle. Engagé en faveur de l’égalité des chances et de l’inclusion, Freeland est adhérent au Pacte mondial des Nations Unies et signataire de la Charte de la diversité. Votre rôle En tant que Chargé(e) de Gestion Consultant, vous êtes le contact privilégié des consultants tout au long de leur mission. À la fois orienté relation client et gestion opérationnelle, vous les accompagnez sur leurs démarches administratives, leur facturation, leurs notes de frais et leur salaire. Votre objectif : leur offrir un suivi personnalisé, réactif et fiable, tout en contribuant à leur satisfaction et à leur fidélisation. Vous travaillez en coordination avec le back-office basé à Maurice et les équipes en France. Vos missions • Accueillir, conseiller et accompagner les consultants dans la gestion quotidienne de leur activité ; • Assurer le suivi de leurs demandes par courriel et par téléphone ; • Relire, valider et enregistrer les contrats de prestation et les conventions, puis les transmettre aux parties concernées ; • Accompagner les consultants dans le déroulement de leur mission et leur expliquer les règles de gestion applicables ; • Contrôler et valider les éléments de facturation ; • Vérifier les déclarations mensuelles d’activité nécessaires à l’établissement du salaire ; • Répondre aux questions relatives aux notes de frais, au compte d’activité et au salaire ; • Gérer votre boîte mail et assurer un suivi régulier des demandes ; • Collaborer avec les équipes back-office afin de garantir un traitement fluide et conforme des dossiers. Le profil recherché Vous avez une expérience en relation client, gestion administrative, facturation, ressources humaines ou suivi de consultants. Vous aimez créer une relation de confiance avec vos interlocuteurs tout en assurant un suivi rigoureux de leurs dossiers. Une expérience dans le portage salarial constitue un avantage, mais n’est pas indispensable. Votre capacité à apprendre, votre sens du service et votre aisance avec les sujets de gestion feront la différence. Vos compétences et qualités • Excellent relationnel, sens de l’écoute et pédagogie ; • Bonne communication orale et rédactionnelle ; • Rigueur, fiabilité et sens de l’organisation ; • Autonomie et capacité à gérer les priorités ; • Réactivité et anticipation ; • Aisance avec les chiffres, la facturation et les documents administratifs ; • Bonne maîtrise du Pack Office et des outils bureautiques ; • Capacité à travailler à distance avec différentes équipes ; • Agilité pour passer facilement d’une demande à une autre. Pourquoi rejoindre Freeland ? • Un poste polyvalent, au cœur de la relation avec les consultants ; • Une réelle autonomie dans le suivi de votre activité ; • Des échanges réguliers avec les équipes de Maurice et de France ; • Un environnement professionnel, collaboratif et en croissance ; • Une mission concrète : simplifier et sécuriser le quotidien des consultants indépendants. Conditions du poste • Contrat : CDI ; • Localisation : Beau Plan, Île Maurice ; • Date de démarrage prévue : septembre 2026 ; • Horaires du lundi au jeudi : 10 h à 19 h ; • Horaires du vendredi : 9 h à 18 h ; • Télétravail : un jour par semaine, le mercredi, après trois mois d’ancienneté ; • Être véhiculé(e) constitue un avantage. • Salaire : 35 000 - 40 000 MUR Navette du soir Une navette est mise à disposition sur les itinéraires suivants : • Grand Baie – Cap Malheureux – Bain Bœuf – Goodlands ; • Beau Plan – Port-Louis. Envie de nous rejoindre ? Envoyez-nous votre CV accompagné de quelques lignes sur votre parcours et votre motivation. Nous serons ravis d’échanger avec vous. Freeland est une entreprise inclusive et handi-accueillante. Toutes les candidatures sont étudiées avec attention et dans le respect de l’égalité des chances.
Privacy Engineering Director (Maurice)
Who We Are Hi, we're DuckDuckGo, the online protection company and remote-first team of 300+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, annual revenue now exceeds $100m USD and millions use our browser on on Mac, Windows, iOS, and Android, our search engine, and the DuckDuckGo subscription. We also offer private, useful, and optional AI, including Duck.ai, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place. Our culture of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! Your Team and Role Working On The Privacy Functional Team, You'll Be a Privacy Engineering Leader At DuckDuckGo, The Person Who Steps In On The Most Complex, Ambiguous, And High-stakes Privacy Challenges That Arise Across Our Products. Using Deep Expertise In Privacy Engineering, Audit Frameworks, And Cross-functional Collaboration, You'll Lead Critical Privacy Initiatives That Shape The Future Of Private Browsing, Private Search, Agentic Computing ,and Work On Related Projects. Recent Projects Include • Building a privacy engineering framework for DuckDuckGo's agentic browsing products, solving novel challenges around user data in AI-assisted workflows. • Designing technical solutions to enable private search index capabilities while preserving strict privacy guarantees at scale. As Engineering Director, Privacy, you'll own high-complexity privacy projects from definition to delivery, evolve our privacy triage and review processes, build automation that reduces engineering toil, and grow the next generation of privacy engineers, all while contributing significantly to privacy strategy across the company. About You • 10+ years experience leading privacy reviews, audits, or technical privacy programs at a consumer-facing product company with a large (1M+) user base. • 4+ years privacy engineering leadership experience - building infrastructure tools, data minimization systems, or equivalent privacy-preserving technical solutions. • Director, Head of, or VP-level experience with direct management and hiring responsibilities and meaningful technical scope. • Proven ability to DRI high-complexity, cross-functional projects with minimal direction. • Strong communication skills, with a track record of translating privacy principles into practical engineering decisions across competing stakeholder needs. • Experience improving organizational processes — identifying bottlenecks, implementing automation, and building scalable review systems. • Passion for privacy and raising the standard of trust online. Compensation $ 243,800 USD annually and stock options. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation. Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK. Our Team Member Support Guide explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. Hiring Process Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire. Diversity, Equity and Inclusion DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request. Please Note That • You’ll be required to attend meetings on camera via video conferencing • Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. • While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. • A successful candidate must pass a background check as a condition of joining the team. • By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. Disclosure Statement: Use of AI in Hiring Process As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process. Key Principles • Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy. We ensure that your personal information is protected and used solely for recruitment purposes. • Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. • Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!
Un lieu pour développer des méthodes de travail utiles avec l'intelligence artificielle.
Une approche pédagogique axée sur l'usage plutôt que sur le savoir.
Creative Design Lead (Marketing Campaigns) (Maurice)
Who We Are Hi, we're DuckDuckGo, the online protection company and remote-first team of 300+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, annual revenue now exceeds $100m USD and millions use our browser on on Mac, Windows, iOS, and Android, our search engine, and the DuckDuckGo subscription. We also offer private, useful, and optional AI, including Duck.ai, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place. Our culture of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! Your Team and Role Working On The Design Functional Team, You'll Shape Marketing Creative For DuckDuckGo's Growing Portfolio Spanning Duck.ai, Search, Browsers, And Subscriptions, Using Tools Like Figma And The Adobe Creative Suite, And Work On Related Projects. Recent Projects Include • Design and lead creative campaigns introducing App Tracking Protection to help people block hidden trackers on Android • Design marketing creative supporting the launch and growth of Duck.ai, our free, private way to chat with multiple AI models As a Creative Design Lead (Senior Designer II) you'll be a hands-on creative force and idea generator, taking full ownership of design work from concept through execution, across multiple concurrent campaigns. You'll drive high-craft, on-brand creative for Duck.ai, search, browsers and subscriptions with minimal oversight, while advising fellow designers on marketing and brand execution. You'll navigate cross-functional stakeholders during scoping and ideation, evolve our brand language with fresh creative concepts, and help build reusable systems that make marketing production more efficient, growing into a go-to advisor for brand and marketing design across the team. About You • 9+ years of hands-on marketing or advertising design experience at a recognizable consumer-facing brand (either working in house or agency side). • Versatility in design with a portfolio demonstrating range, depth, strong execution, and a distinct creative point of view. • High proficiency in design fundamentals, including typography, color, and composition, with a strong working knowledge of Figma and Adobe Creative Suite. • Exceptional creativity, aesthetic judgment, and design intuition. • A track record of proven experience developing original ideas and leading creative direction across conceptual and strategic execution for marketing campaigns. • Comfort driving projects end-to-end with minimal oversight, including scoping, stakeholder alignment, creative direction, and delivery. • An impact-driven approach, using qualitative and quantitative insights to inform design decisions. • Strengths in generating ideas, exploring multiple creative directions, and inspiring peers. • Ability to communicate ideas clearly through written project scopes that define the problem, user impact, and proposed path forward. • Experience advising or mentoring other designers is a plus. Compensation $200,267 USD annually and stock options. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation. Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK. Our Team Member Support Guide explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. Hiring Process Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire. Diversity, Equity and Inclusion DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request. Please note that • You’ll be required to attend meetings on camera via video conferencing • Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. • While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. • A successful candidate must pass a background check as a condition of joining the team. • By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. Disclosure Statement: Use of AI in Hiring Process As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process. Key Principles • Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy. We ensure that your personal information is protected and used solely for recruitment purposes. • Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. • Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!
Global Delivery Manager
About Us Join us at Orange Business! We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business. Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities. About The Role Global Delivery Manager [GDM] Missions Vous rejoignez une équipe de Global Delivery Manager (GDM) en Vie de Solution. Votre rôle en tant que Global Delivery Manager consistera de piloter tout ou partie d’un projet, dans le cadre d’un processus établi pour obtenir un résultat conforme aux attendus du client. Vos activités principales sont les suivantes : Prendre en charge tout ou partie du pilotage d’un projet et de la coordination des moyens associés, dans le respect des délais et de la qualité. Veiller au respect des coûts définis dans le budget. Animer les acteurs du projet et les soutenir sur la méthodologie et les outils projet, dans un esprit d’efficacité, de motivation et de performance. Suivre l’avancement du projet et en établir le Reporting régulier à destination du client / donneur d’ordres. Elaborer la documentation associée aux projets. Gérer les risques, les problèmes et les changements liés aux projets. About You Competences: Savoir travailler avec méthode et planifier les activités. Assurer la mise en œuvre d’une ou plusieurs activités de manière méthodique en hiérarchisant et ordonnançant les priorités pour atteindre les résultats escomptés. Travailler ensemble : Coopérer et savoir travailler en transverse. Etablir des relations de collaboration et de coopération aussi bien au sein de son équipe qu’au sein de l’entreprise pour une meilleure efficacité collective. Être orienté résultats. Prioriser ses actions afin d’obtenir les résultats escomptés dans le cadre de sa mission. Communiquer avec impact : Savoir communiquer. Transmettre, échanger et partager de l’information écrite, orale, digitale, de façon claire, tout en s’adaptant à ses interlocuteurs. Faire preuve d’assertivité, de force de conviction. Orange Restricted Connaître le domaine d’activité et son écosystème. Être capable d’utiliser les compétences et connaissances liées à un domaine spécifique (SI, client, réseaux, marketing…) et/ou à un secteur de l'industrie, un produit ou un service, une zone géographique ou un périmètre international. Connaitre de l’écosystème interne et de l’organisation Expérience confirmée en gestion de projets ou programmes internationaux. Maîtrise des méthodologies de gestion de projet (Agile, Waterfall, etc.). Formation & Expérience Degree/Bac+2 en gestion de projets, informatique, ingénierie ou domaine connexe. Minimum 3 à 5 ans d’expérience dans la gestion de projets ou de programmes internationaux. Expérience en gestion d’équipes multiculturelles et en environnement global. Les certifications en gestion de projet (PMP, ITIL, etc..) sont un plus. You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas. What We Offer Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world. Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working). Professional Development: training programs and upskilling/re-skilling opportunities. Career Growth: Internal growth and mobility opportunities within Orange. Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events. Reward Programs: Employee Referral Program, Change Maker Awards. Only Your Skills Matter Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neuroatypia, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
Software Engineer Annotator (Maurice)
Job Title: Software Engineer Annotator (remote) Location: Remote (world-wide) Job Summary: We are seeking an experienced Software Engineer Annotator responsible for evaluating, labeling, and improving software engineering datasets used for Artificial Intelligence and Large Language Model (LLM) training. The ideal candidate will apply strong programming knowledge to review AI-generated code, validate outputs, and ensure high-quality technical annotations aligned with engineering best practices. Job Responsibilities • Annotate and review software engineering datasets for AI training. • AI-generated code for correctness, efficiency, readability, and security. • Label datasets including code completion, debugging, refactoring, and optimization tasks. • Provide structured feedback to improve model performance. • Ensure adherence to annotation guidelines and quality standards. • Collaborate with AI trainers, reviewers, and data teams. Job Requirements • Bachelor’s degree in computer science, software Engineering, or information Technology • Minimum of 3- 5 years’ experience as a Software Engineer. • Prior experience in data annotation, AI training, and coding review. • Strong programming background in Python, Java, JavaScript, or C++, or Go. • Solid understanding of software engineering principles, data structures, and algorithms. • Ability to annotate, label, and evaluate code datasets accurately. • Familiarity with software development lifecycle (SDLC) and coding best practices. • Understanding of APIs, backend systems, and web technologies. • Basic knowledge of Artificial intelligence, machine learning, or Large Language Models (LLM) is an advantage. • Capability to compare multiple AI-generated responses and rank them based on accuracy and usefulness. • Familiarity with annotation platforms or labeling tools.
NLP Data annotator (Maurice)
JOB TITTLE : NLP Data Annotator LOCATION: Remote (Worldwide) EMPLOYMENT TYPE: Full Time JOB SUMMARY We are looking for a detail-oriented NLP Data Annotator to support the development of cutting-edge Natural Language Processing (NLP) systems. In this role, you will label, classify, and evaluate text and/or speech data to improve the performance of AI models, including chatbots, search engines, and language understanding systems. Key Responsibilities • Read and analyze text data according to detailed annotation guidelines. • Perform tasks such as sentiment labeling, intent classification, entity tagging, and text categorization. • Follow detailed annotation instructions with high accuracy and consistency. • Conduct quality checks and resolve annotation discrepancies • Meet productivity and quality targets. • Provide feedback to improve annotation processes. Requirements • Bachelor’s degree (Linguistics, English, Communications, Computer Science, or related field preferred) • Strong command of written and spoken English (additional languages are a plus) • Experience with large language model (LLM) training datasets • Familiarity with data formats such as JSON, XML, CSV • Knowledge of evaluation metrics (precision, recall, F1-score) • Experience working with APIs and data pipelines • Strong reading comprehension and analytical skills
Computer Vision Annotator (Maurice)
Job Title: Computer Vision Annotator Location: Remote (Worldwide) Job Summary: The Computer Vision Annotator is responsible for accurately labeling and annotating image and video data to support the development and training of computer vision and machine learning models. This role plays a critical part in improving model performance by creating high-quality datasets used for object detection, image classification, segmentation, tracking, and other visual recognition tasks. Responsibilities • Perform high-precision annotation on visual data using specialized tools. Tasks include: • Drawing accurate bounding boxes, polygons, and polylines around objects of interest. • Placing key points for pose estimation or landmark detection. • Creating 3D cuboids and annotating point cloud data for spatial awareness applications (e.g., autonomous vehicles, robotics). • Conducting semantic/instance segmentation to label every pixel in an image. • Interpret complex labeling taxonomies and project specifications. Identify ambiguous cases and collaborate with project managers and data scientists to refine annotation guidelines for clarity and scalability. • Utilize advanced features of annotation tools such as CVAT, Label Studio, 3D Slicer, or Amazon SageMaker Ground Truth. Provide feedback to engineering teams to improve tool functionality and workflow efficiency. • Proactively identify challenging data patterns, edge cases, and potential biases in datasets. Escalate these findings to help improve model robustness and mitigate bias. • Contribute to the development of annotation best practices, workflow optimizations, and training materials for new annotators. • Assist in basic data preparation tasks such as resizing images, converting data formats, or ensuring sensor data synchronization (e.g., time-stamp alignment for video and LiDAR). • Assist in tracking key performance insights (KPIs) such as annotation throughput, precision, and recall. Participate in calibration sessions to ensure consistency across the team. Requirements • Minimum of 2 years of experience in data annotation, data labeling, or quality assurance specifically for computer vision or Machine Learning projects. • Demonstrated proficiency with a variety of annotation techniques including bounding boxes, polygons, key points, 3D cuboids, and segmentation masks. • Extensive hands-on experience with industry-standard annotation tools like CVAT, label Studio, 3D Slicer, Supervisely. • Solid understanding of computer vision concepts and terminology (e.g., object detection, image classification, LiDAR, point clouds). • Familiarity with quality control processes such as consensus labeling, audit sampling, gold-task seeding, and inter-annotator agreement metrics. • Exceptional attention to detail with an unwavering commitment to accuracy and consistency. Proven ability to maintain high-quality output even when labeling repetitive tasks. • Strong written and verbal communication skills in English. Ability to document workflows clearly and collaborate effectively teams and clients.
Data Scientist
Who are we? Valuement is an international consulting company, part of Mantu Group, that focuses on business processes and data analysis. Its primary goal is to reveal and ensure long-term competitiveness for its clients. We are actively developing our markets and therefore we are looking for a Data Scientist to implement projects within our operational team in Mauritius. Successful candidates will have the opportunity to be part of an international, young and fast-growing group with real opportunities for professional development at all levels. We are looking for an enthusiastic, ambitious, and curious professional, able to think outside the box and with a strong interest for performing analyses and working with data. Job Description: As a member of the Data Factory team, under the responsibility of a Data Scientist, you will provide data services to internal clients. You will handle and analyze large datasets to create value for our clients’ data. Combining computer science, development, modeling, statistics, and analytics skills, you will help Valuement to develop its business. Your Missions: • Lead the data analysis lifecycle for clients: discover raw data, convert, enrich, design, analyze, and develop algorithms • Identify patterns and trends in data sets • Work closely with our Data & Business Analysis (DBA) team to understand business needs and collect requirements to ensure goal achievement • Report results back to your manager • Develop solutions for automating data analysis and deploy them across all countries • Ensure data quality before delivery to internal or external clients Your Profile: • Degree in Computer Science, Mathematics, Statistics, or Information Technology (a Master’s degree is mandatory, except in the case of a Bachelor’s degree specifically in Computer Science) • Expertise in data analysis • Experience with RDBMS (SQL Server, Oracle, MySQL, PostgreSQL) • Experience in SQL, including basic knowledge of SQL programming (T-SQL or PL-SQL) • Experience in development with R or Python is appreciated • English fluent. Additional languages are a plus. • Ability to analyze large and complex datasets • You demonstrate a strong analytical mindset and an inclination for problem-solving • You pay attention to detail, ensuring thorough and accurate work What we offer: • Hybrid work policies • Competitive compensation scheme (permanent contract + commissions and benefits) • Real possibility to grow fast into a management role • International environment, overseas projects to develop, and mobility opportunities Valuement is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics
Quel métier Tech ou IA vous correspond ?
Missions réelles, compétences attendues et passerelles depuis votre poste actuel.
Data Scientist - F/M/X
Job Description Who are we? Valuement is an international consulting company, part of Mantu Group, that focuses on business processes and data analysis. Its primary goal is to reveal and ensure long-term competitiveness for its clients. We are actively developing our markets and therefore we are looking for a Data Scientist to implement projects within our operational team in Mauritius. Successful candidates will have the opportunity to be part of an international, young and fast-growing group with real opportunities for professional development at all levels. We are looking for an enthusiastic, ambitious, and curious professional, able to think outside the box and with a strong interest for performing analyses and working with data. Job Description: As a member of the Data Factory team, under the responsibility of a Data Scientist, you will provide data services to internal clients. You will handle and analyze large datasets to create value for our clients’ data. Combining computer science, development, modeling, statistics, and analytics skills, you will help Valuement to develop its business. Your Missions: • Lead the data analysis lifecycle for clients: discover raw data, convert, enrich, design, analyze, and develop algorithms • Identify patterns and trends in data sets • Work closely with our Data & Business Analysis (DBA) team to understand business needs and collect requirements to ensure goal achievement • Report results back to your manager • Develop solutions for automating data analysis and deploy them across all countries • Ensure data quality before delivery to internal or external clients Your Profile: • Degree in Computer Science, Mathematics, Statistics, or Information Technology (a Master’s degree is mandatory, except in the case of a Bachelor’s degree specifically in Computer Science) • Expertise in data analysis • Experience with RDBMS (SQL Server, Oracle, MySQL, PostgreSQL) • Experience in SQL, including basic knowledge of SQL programming (T-SQL or PL-SQL) • Experience in development with R or Python is appreciated • English fluent. Additional languages are a plus. • Ability to analyze large and complex datasets • You demonstrate a strong analytical mindset and an inclination for problem-solving • You pay attention to detail, ensuring thorough and accurate work What we offer: • Hybrid work policies • Competitive compensation scheme (permanent contract + commissions and benefits) • Real possibility to grow fast into a management role • International environment, overseas projects to develop, and mobility opportunities Valuement is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics
Computational Linguist Annotator (Maurice)
JOB TITTLE : Computational linguist Annotator LOCATION: Remote (Worldwide) EMPLOYMENT TYPE: Full Time JOB SUMMARY We are seeking a highly motivated Computational Linguist with strong expertise in linguistic annotation and natural language processing (NLP). In this role, you will design, implement, and evaluate annotation frameworks that support the development of advanced AI language systems. You will work closely with machine learning engineers, data scientists, and annotation teams to ensure high-quality linguistic datasets. Key Responsibilities • Design linguistic annotation schemas for complex NLP tasks including semantic role labeling, discourse parsing, coreference resolution and multimodal language. • Develop comprehensive annotation guidelines that balance linguistic precision with annotator usability and scalability. • Collaborate with new product teams to translate business requirements into linguistic annotation frameworks. • Ensure schemas capture relevant linguistic phenomena while remaining computationally tractable. • Build and maintain annotation interfaces, quality assurance dashboards and data management tools. • Develop scripts and utilities for data preprocessing, validation and analysis. Requirements • Bachelor's degree in Linguistics, English or a relating field. • Minimum 5 years’ experience in computational linguistics, language annotation, or NLP data operations. • Strong academic foundation in syntax, semantics, pragmatics and discourse analysis. • Experience in building and customizing annotation tools and work flows. • Track record in managing annotation projects from pilot to production scale. • Excellent written and verbal communication skills.
Assistant Manager - Digital & AI Transformation Lead - Tech Consulting - EY Mauritius
What if we didn’t focus on who you are now, but who you could become? Here at EY, you will have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. Join us and build an exceptional experience for yourself, and a better working world for all. The Exceptional EY Experience. It's Yours To Build. You will experience ongoing professional development through diverse experiences, world-class learning and individually tailored coaching. That’s how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities. Sound interesting? Well this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. About The Job With a strong understanding of our clients’ end‑to‑end business landscape, EY helps organizations shape and deliver initiatives that create meaningful and sustained value. Our focus is on enabling change where it matters most—by combining strategic insight, modern platforms, data and AI capabilities, and disciplined delivery to solve complex business challenges. We work with leading organizations across the region, supporting large‑scale programs that span strategy definition, experience design, platform enablement, analytics, automation and enterprise change. As our Digital, Data & AI capabilities continue to evolve, we are investing in advanced technologies and high‑calibre talent to support clients through increasingly complex transformation journeys. This is an opportunity to join the practice at a pivotal time-working on high‑impact programs across industries, advising executives, collaborating with diverse teams, and playing a hands‑on role in turning intent into execution and measurable outcomes for our clients. The opportunity: your next adventure awaits Technology Consulting business is a fast-growing sub-service line within EY’s Consulting service line. A dynamic group focused on providing high-value independent, trusted advice to clients, with a focus on transformation programmes. The Digital Business Advisory Practice partners with clients to define, enable, and deliver end‑to‑end Digital, Data and AI transformations, helping organizations modernize their operating models, platforms, and ways of working to deliver measurable business value. Working closely with our industry teams and leveraging The EY brand as an independent, trusted advisor, we support our clients across the full transformation lifecycle, including: • Digital, Data & AI Strategy and Transformation Roadmaps: Defining digital, data and AI vision, strategy and transformation roadmaps aligned to business objectives and value realization. • Customer Experience Transformation: Designing and enabling digitally enabled, data‑driven customer and employee experiences across channels, leveraging analytics, AI and personalization. • Intelligent Automation & AI Enablement: Identifying, designing and supporting delivery of automation and AI use cases optimizing operations while embedding appropriate governance and controls. • Operating Model, Governance & Delivery Enablement: Designing target operating models, delivery structures, and governance for digital and AI programs • Digital Portfolio, Program & Project Delivery: Leading and supporting end‑to‑end delivery of digital and AI initiatives—from use‑case definition and solution design through to implementation and benefits tracking. • Journey Design & Business Case Development: Defining future‑state journeys by establishing the why, what and how of change, and supporting the development of clear business cases and investment rationale. • Integrated Delivery & Cross‑Capability Collaboration: Working with teams across data, cyber, cloud and platform capabilities to pursue and deliver end‑to‑end engagements that bring client strategy and vision to life. • Enterprise Uplift & Value‑Driven Solution Design: Designing and executing uplift programs, solution approaches and roadmaps that are pragmatic, value‑focused, and cost‑effective, aligned to client priorities. • Data Readiness For AI: Support organizations in assessing and strengthening data foundations for AI adoption, ensuring readiness across data availability, quality, governance, ownership, and operating models to scale use cases through an AI Centre of Excellence. We are looking for an experienced Lead with a strong track record in delivering large‑scale change programs, operating in a Business Advisory context with large, recognised organizations in Mauritius and/or internationally. The role requires a practitioner who can bridge strategy and execution, with hands‑on experience supporting platform‑led and advanced analytics–driven initiatives . Regular travel, locally and internationally, may be needed as part of the day-to-day client work, and at times work from the client site or other EY offices. Our hybrid working practices along with flexible working arrangements will be in place to help you manage the requirement for travel and achieve a lifestyle balance. This is a project lead role guiding clients on their Digital, Data, IT and digital vision, strategy, architecture, and transformation roadmap as they embark on and build their digital and AI journey. Most of your time will be spent embedded with our clients’ team and we’ll look to you to provide them with a unique business perspective on how they must continue to innovate, mitigate risk, and remain competitive with digital capability and technologies in this ever-changing industry. Your Key Responsibilities As an Assistant Manager, you’ll spend most of your time managing and working with a wide variety of clients to deliver professional services and managing business development activities on strategic and global priority accounts. • Client Engagement & Trusted Advisory: Build strong, long‑term relationships with clients by acting as a trusted advisor on large‑scale change initiatives, helping leadership translate business priorities into actionable programs and measurable outcomes. • Digital & AI Program Delivery: Lead and support the delivery of enterprise initiatives across platforms, analytics, automation and AI covering use‑case shaping, delivery coordination, dependency management, and benefits tracking across complex environments. • Strategic Shaping to Execution: Bridge strategy and execution by supporting clients from vision and roadmap definition through to implementation, ensuring initiatives are pragmatic, sequenced, and aligned to business value. • Experience, Journey & Business Case Design: Work with clients to define future‑state customer and employee journeys, clearly articulating the why, what and how of change, and supporting the development of robust business cases and investment rationale. • Operating Model & Governance Enablement: Support the design and embedding of delivery operating models, governance structures, and decision frameworks to enable effective execution across portfolios, programs, and AI‑enabled initiatives. • Cross‑Capability Delivery Leadership: Collaborate with teams across data, cyber, cloud, and platform capabilities to pursue and deliver end‑to‑end engagements that bring client vision and strategy to life. • Business Development & Growth: Contribute to the growth of the practice by identifying opportunities within existing engagements, shaping client proposals, and supporting pursuits across the broader consulting portfolio. • Capability & Solution Development: Contribute to the development of delivery approaches, reusable assets, and solution frameworks that strengthen EY’s ability to deliver scalable, high‑impact engagements • Industry‑Aligned Solutioning: Understand sector‑specific challenges (e.g. banking, telecom, manufacturing) and adapt EY offerings to address real business problems, regulatory considerations, and execution constraints. • Thought Leadership & Market Presence: Stay current on industry trends and emerging technologies, contribute to internal thought leadership, and support EY’s market positioning through external forums where appropriate. Skills And Attributes For Success The ideal candidate will have the ability to manage multiple projects and leadership skills to engage with diverse stakeholders. • Supporting team members in the development of applicable methodologies, tools, approaches, points of view, thought leadership and accelerators to differentiate EY in the digital market. • Being proactive and driven to continually learn emerging technologies and business best practices. • Developing long-term relationships and networks both internally and externally. • Interacting and communicating effectively with teammates, clients, stakeholders, and executives. • Being visible in the market to promote new ideas in your domain and the excellence in digital advisory services offered by EY. To qualify for the role, you must have: • Educational Background: Bachelor’s degree in Technology, Engineering, Computer Science, Information Systems, or Business with a strong technology focus. A Master’s degree (MBA, MIS, Digital Transformation, Data/AI) is an advantage. • Transformation Delivery Experience: Proven experience working on large‑scale digital, platform, data or AI‑enabled transformation programs, with hands‑on involvement beyond strategy definition. • Consulting Experience: Prior experience within a consulting or advisory environment supporting enterprise clients on complex change initiatives across technology and business functions. • End‑to‑End Program Exposure: Experience supporting initiatives from vision and roadmap definition through delivery, adoption, and benefits realization. • Platform & AI Enablement: Practical understanding of digital platforms, analytics, automation and AI use cases, including how these are shaped, governed, and embedded into enterprise environments. • AI & Data Awareness: Understanding of AI/analytics lifecycle considerations such as data readiness, controls, governance, regulatory expectations, and operational integration (hands‑on data science is not required). • Strategic Leadership Skills: Strong capabilities in strategic leadership, including excellent decision-making, planning, and organizational skills. • Framework and Methodology Expertise: Proficient in using various frameworks and methodologies to evaluate and recommend migration strategies, and digital platform options, focusing on digital transformation • Agile & Hybrid Ways of Working: Familiarity with Agile, hybrid delivery models, product‑centric ways of working, and cross‑functional team coordination. • Customer Engagement: Exceptional skills in engaging customers, especially at the C-level, effectively pivoting discussions between technology and business/commercial interests to underline the business value of digital initiatives in application and integration. • Communication Skills: Excellent written and verbal communication skills, with experience producing executive‑ready presentations, roadmaps, business cases, and status communications. • Leadership in Client Interactions: Confidence in leading meetings with various client stakeholders, including sponsors, management teams, and individual contributors. Confidence in leading workshops, steering groups, and working sessions with diverse stakeholders. • Integration expertise: Have previously designed and implemented APIs, understanding of protocols like REST, SOAP, HTTPs, UDP etc • Technology & Workflow Understanding: Strong understanding of solution workflows, business architecture, and core technologies (platforms, APIs, middleware, integrations), enabling effective collaboration between business and technology teams. • Certifications related to Digital Transformation, Agile Delivery, Cloud, Data or AI, such as: • SAFe / Scrum / Agile certifications • Cloud fundamentals (AWS / Azure / GCP) • Data & Analytics or AI foundations • TOGAF or architecture certifications (optional, not core) Ideally, you will also have • Outcome‑Driven Mindset: A strong results‑oriented approach, with experience delivering measurable outcomes across enterprise‑wide change initiatives, digital platforms, process optimisation, and AI‑enabled programs. • Transformation & Delivery Certifications: Relevant certifications supporting transformation and delivery credibility (e.g. Agile, SAFe, Scrum, Digital Transformation, Cloud, Data or AI foundations). Architecture certifications are a plus, but not a requirement. • Governance, Risk & Compliance Awareness: Exposure to governance, risk, and regulatory considerations within large‑scale programmes, particularly in environments where data, security, controls, and responsible technology adoption are critical. • Change & Adoption Experience: Experience supporting organisational change, operating model shifts, and adoption uplift as part of enterprise initiatives, including embedding new ways of working, platforms, and data‑ or AI‑enabled capabilities. • Delivery & Team Leadership: Experience leading small multidisciplinary teams (typically 3–5 people) or coordinating multiple workstreams across complex delivery programmes. • Collaborative & Inclusive Leadership Style: A proven ability to motivate teams, foster collaboration across business and technology roles, and drive alignment toward shared outcomes rather than purely technical objectives. • Global & Cross‑Industry Exposure: Experience working with large enterprise clients across multiple geographies and sectors, with the ability to operate comfortably in complex, diverse stakeholder environments and support large‑scale change efforts. What We Look For If you are a driven transformation practitioner who combines strategic thinking with hands‑on delivery experience, and you enjoy leading teams while solving complex client challenges, we would like to hear from you. This role requires the ability to listen, challenge conventional thinking, and translate ambitious vision into practical, executable initiatives. Successful candidates will bring experience working on large‑scale enterprise change programs, contributing to shaping transformation approaches, supporting business development with strong point‑of‑view content, and orchestrating collaborative delivery across multidisciplinary teams. Comfort interacting with senior client stakeholders and executives is essential, as is the ability to balance business priorities, technology enablement, and delivery realities. Above all, we are looking for individuals with a growth mindset who are passionate about helping organizations realize tangible value from modern platforms, data, advanced analytics, and emerging technologies-guiding clients from intent to execution and sustained outcomes. What Working At EY Offers We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development. Plus, we offer: • Support, coaching, and feedback from some of the most engaging colleagues around. • Opportunities to develop new skills and progress your career. • The freedom and flexibility to handle your role in a way that’s right for you. EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in Assurance, Consulting, Strategy and Transactions, Tax, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. EY will recommend applicants to read our privacy statement prior to completing the pre application form: https://www.ey.com/en_gl/privacy-statement Join us in Shaping the future with confidence. Apply now Only shortlisted candidates will be contacted.
Marathi Linguistic QA Specialist (Remote) (Maurice)
About This Role In this hourly, remote contractor role, you will work as a Marathi Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Marathi AI training projects. You will review AI-generated Marathi content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, meaning preservation, instruction-following, formatting, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong Marathi and English skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote teams. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Marathi quality leadership will directly help improve the world’s premier AI models by ensuring that Marathi training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Your profile • Bachelor’s or Master’s degree in Marathi, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a relevant domain/related field. • Native or near-native Marathi proficiency with strong reading and writing skills. • Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear feedback in English. • 3+ years of professional experience in Marathi writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows. • Strong understanding of Marathi grammar, spelling conventions, punctuation, tone, register, regional variation, and cultural context. • Ability to evaluate Marathi content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, hallucinated claims, ambiguity, or inconsistent terminology. • Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred. • Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. • Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, and other quality documentation. • Experience with AI training, data annotation, large language models, prompt/response evaluation, or rubric-based LLM QA is a strong plus. Key responsibilities • Quality monitoring: Spot-check Marathi items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. • Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, and quality expectations. • Question handling: Respond to trainer/QA questions clearly and promptly, especially around Marathi wording, register, translation fidelity, cultural context, regional usage, and edge cases. • Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. • Documentation: Create and maintain Marathi project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials. • Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and Marathi-specific style requirements. • Quality alignment: Ensure all trainers and QAs apply Marathi language guidelines consistently and understand updates as projects evolve. • Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for Marathi-language projects.
Data Engineer
Business & Decision Maurice recrute des Data Engineers ayant une bonne maitrise d’un ou plusieurs des outils suivants : Informatica / DBT / Snowflake / PySpark. Postes ouverts : Intermédiaire (min. 3 ans d’expérience) et Senior (min. 5 ans d’expérience ) Poste et Missions : Vous intégrez des équipes internationales et sous la supervision d'un Chef de projet, vous participez à toutes les phases de mise en oeuvre d’une application décisionnell • e : Recueil et analyse de besoins cli • entsSpécifications fonctionnelles et techni • quesConception, développement et tests (intégration de données, reporting et analyt • ics)Documentation techn • iqueMaintenance corrective et évolu • tiveSupport et formation utilisat eurs Pro • fil : 3 ans d’expérience minimum en développement de soluti • ons BIBonne maitrise d'un ou plusieurs des outils suivants : Informatica (IICS) / DBT / Snowflake / P • ySparkune connaissance pratique d'un outil Reporting est u • n plusExcellente communication en Fra n çais. Nos Avant • ages : Salaire très inté • ressantBénéfices divers (primes, referral programme • , etc.)Assurance m • édicalePlan de retrait • e privéMode de travail • hybrideFlexibilité • horaireAmbiance conviviale (séjours hôtel, happy hour, team events , etc.)
Treasury Data Analytics Associate
Company Description We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. We are seeking highly analytical and collaborative Associates with a focus on Treasury Analytics to join our growing global treasury function. Operating in a fast-paced payments environment, this role will serve as the technical engine for the Reporting and Analytics team. Reporting directly to the Manager, Enterprise Treasury, you will be responsible for executing technical data tasks, building scalable data models, and delivering high-quality, actionable reports that drive strategic decision-making across the various treasury functions. Because you will be working closely with cross-regional teams, the ability to translate complex technical concepts into clear business insights is critical. You will leverage modern data stacks to optimize reporting, while also having the exciting opportunity to explore and implement AI-driven analytics. Key Responsibilities Communication & Stakeholder Management: • Act as the vital bridge between technical data architecture and business-focused enterprise treasury operations, translating complex data findings into clear, non-technical insights. • Proactively communicate with cross-regional teams (finance, engineering, and global treasury) across multiple time zones, ensuring alignment on data definitions, reporting requirements, and project timelines. • Draft clear, concise documentation for data pipelines, dashboard usage, and reporting metrics to ensure global teams can easily understand and leverage your tools. • Present analytical findings and AI/ML capabilities confidently to both the Manager and broader global stakeholders. Data Modeling & Technical Execution • Take technical requirements translated by the Manager and develop robust data pipelines and models to support treasury operations. • Extract, transform, and load (ETL/ELT) complex datasets using modern tech stacks including dbt, Google BigQuery, and Snowflake. • Ensure data architecture is scalable, reliable, and optimized for rapid querying and analysis. Reporting, BI & Visualization • Design, build, and maintain automated, user-friendly treasury dashboards and reports using Looker/Tableau/Power BI (or similar tools). • Ensure all reports are highly accurate, timely, and aligned with broader business OKRs. • Uncover and visualize key trends across all treasury domains to support senior stakeholders. AI & Advanced Analytics Initiatives • Explore and implement AI, machine learning, and predictive analytics to improve treasury insights. • Drive continuous improvement by evaluating new tools and methodologies to keep the team’s tech stack at the cutting edge. Qualifications • Education: Bachelor’s degree in Data Science, Computer Science, Mathematics, Finance, or a related quantitative field • Experience: • 2–4 years of experience in data analytics, data engineering, or business intelligence, preferably within a fintech, banking, payments, or financial services company. • Proven track record of working collaboratively and communicating effectively in distributed or cross-regional teams. • Technical Skills: • Advanced proficiency in SQL and cloud data warehousing (specifically BigQuery and Snowflake). • Hands-on experience with data transformation tools (dbt). • Strong expertise in building dashboards and visualizations in Looker. • Bonus: Practical experience or strong familiarity with integrating AI/ML models or leveraging Python/R for predictive analytics. Key Competencies • Exceptional Communicator: Strong written and verbal communication skills; able to distill complex, technical data into clear narratives for diverse, global audiences. • Technical Agility: Deep understanding of the modern big data tech stack with an appetite for adopting new technologies, particularly in the AI space. • Collaboration & Teamwork: Thrives in a globally distributed environment, working seamlessly with diverse teams across borders and cultures. (Might require flexi hours occasionally) • Analytical Problem-Solving: Highly skilled at diving into complex, messy data to extract clean, reliable, and actionable insights. • Execution-Oriented: Ability to take high-level objectives and technical tasks delegated by the Manager and deliver scalable solutions efficiently. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram
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Senior Specialist, Data Analytics
Company Description We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. What the job involves We are looking for a highly analytical and detail-oriented Data Analyst, Incentives & Commercial Reporting to join our growing team in Ebene, Mauritius. Reporting to the Manager of Incentives & Commercial Reporting, you will be the analytical backbone of our commercial performance, executing the data workflows that ensure our global sales teams are incentivized correctly and our revenue insights are flawless. At Checkout.com, "high performance is a science, not an accident." In this role, you will live in the data that proves that science. You will own the day-to-day execution of complex datasets, build and maintain crucial dashboards, and calculate the commercial compensation that drives our frontline teams. This is a role for a naturally curious problem-solver who loves digging into the numbers to find the truth and automate away friction. What You Will Be Doing • Incentive Execution: Calculate, audit, and administer commercial compensation and bonus plans. You will dive deep into the data to ensure every payout is accurate, transparent, and delivered on time. • Data Investigation & Reporting: Maintain the commercial reporting cadence. You will extract and manipulate raw data to build an unvarnished view of business performance, helping to move the needle from estimation to predictability. #NoRoomForApproximation • Dashboarding & Tech Stack Utilization: Leverage BigQuery, Looker, and advanced Google Sheets to build and maintain the dashboards that act as our single source of truth. • Process Optimization: Identify manual bottlenecks in our current reporting workflows and help architect automated, scalable solutions. You won't just report the data; you will improve how it flows. • Strategic Support: Partner closely with your Manager and the wider Revenue Operations team to translate complex datasets into clear, actionable insights for Commercial Leaders. #OneTeam About You • Data-Driven Problem Solver: You have 4-6 years of experience in Data Analytics, Revenue/Sales Operations, Finance, or a similarly analytical role within a fast-paced environment. • Quantitative Foundation: You hold a qualification in Mathematics, Economics, Finance, or another highly quantitative degree. • Technical Chops: You possess strong, practical exposure to BigQuery (SQL) for extracting and manipulating large datasets, alongside experience building visualizations in Looker. • Spreadsheet Master: Advanced proficiency in Google Sheets is non-negotiable. You are highly comfortable with complex formulas, large data sets, and financial modeling. • Detail-Obsessed Storyteller: You have a meticulous eye for detail and the ability to look at a raw dataset and pinpoint exactly where the anomalies or opportunities lie. • Adaptable & Fast-Moving: You thrive in an environment where priorities shift and you are comfortable with ambiguity. You pivot quickly to maintain momentum and deliver results. #PaceMatters Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram
Marathi Team Lead (Maurice)
In this hourly, remote contractor role, you will work as a Marathi Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Marathi AI training projects. You will review AI-generated Marathi content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, meaning preservation, instruction-following, formatting, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong Marathi and English skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote teams. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Marathi quality leadership will directly help improve the world’s premier AI models by ensuring that Marathi training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Key Responsibilities • Quality monitoring: Spot-check Marathi items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. • Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, and quality expectations. • Question handling: Respond to trainer/QA questions clearly and promptly, especially around Marathi wording, register, translation fidelity, cultural context, regional usage, and edge cases. • Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. • Documentation: Create and maintain Marathi project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials. • Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and Marathi-specific style requirements. • Quality alignment: Ensure all trainers and QAs apply Marathi language guidelines consistently and understand updates as projects evolve. • Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for Marathi-language projects. Your Profile • Bachelor’s or Master’s degree in Marathi, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a relevant domain/related field. • Native or near-native Marathi proficiency with strong reading and writing skills. • Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear feedback in English. • 3+ years of professional experience in Marathi writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows. • Strong understanding of Marathi grammar, spelling conventions, punctuation, tone, register, regional variation, and cultural context. • Ability to evaluate Marathi content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, hallucinated claims, ambiguity, or inconsistent terminology. • Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred. • Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. • Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, and other quality documentation. • Experience with AI training, data annotation, large language models, prompt/response evaluation, or rubric-based LLM QA is a strong plus.
Data Scientist I, Risk Analytics
Company Description We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. We are looking for a highly technical, problem-solving Data Scientist I to join our Risk Analytics team in Ebene, Mauritius. You will be joining our dedicated Data Analytics and Tooling squad - the team responsible for building the robust data pipelines, interactive dashboards, and custom applications that empower our global Risk Operations to make fast, accurate decisions. At Checkout.com, high performance is a science, not an accident. In this role, you will be instrumental in optimizing how we manage risk through data. You will help build and scale our data infrastructure to run predictive anomaly detection models. We are actively scaling into new products, so you will have the ground-floor opportunity to integrate AI tools and shape our modern tech stack. You will be part of a dynamic team of builders who thrive on turning complex, high-volume data into scalable, automated solutions. What You Will Be Doing • Data Infrastructure & Pipeline Execution: Develop and maintain robust ETL pipelines, data models, and data controls using GCP, BigQuery, dbt, and Cloud Composer. You will ensure a clean, reliable single source of truth for the wider Risk organization. • Tooling & Process Optimization: Build intuitive custom UIs to directly support the Risk Operations team, making their day-to-day tasks and case management workflows faster and easier. • Actionable Dashboarding: Design, build, and maintain Looker dashboards that reduce manual ad-hoc requests and accelerate cross-functional decision-making. • AI Innovation & Modeling Infrastructure: Build the data infrastructure required to run anomaly detection and credit risk models. You will also help the team innovate by integrating new AI-based tools into our risk decisioning workflows. • Cross-Functional Partnership: Act as the trusted data partner for the Risk Operations team. You will rapidly execute ad-hoc data requests, troubleshoot data issues, and translate complex engineering data into clear business insights. #OneTeam About You • Data-Driven Problem Solver: You have 2+ years of applied working experience in Data Science, Data Engineering, or Data Analytics, with a proven track record of successfully delivering cross-functional projects. • Technical Architect: Advanced SQL fluency is non-negotiable. You have a good understanding of database management, ETL pipelines, and data orchestration. • The Modern Tech Stack: You will be working hands-on with tools like GCP, BigQuery, dbt, Looker, Cloud Composer, Databricks, GitHub, and ReTool. Any prior experience with these, or similar cloud-based data platforms, will be considered a strong advantage. • Detail-Obsessed Storyteller: You are an excellent communicator who can distill complex, "messy" data into clear narratives. You care deeply about data quality and strict validation before presenting findings to non-technical stakeholders. #NoRoomForApproximation • Bonus Points: Domain experience in Payments, Fraud, E-commerce, or Credit Risk. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram
Language Specialist Annotator (Maurice)
JOB TITTLE : Language Specialist Annotator LOCATION: Remote (Worldwide) EMPLOYMENT TYPE: Full Time JOB SUMMARY We are in need of a highly skilled Language Specialist – Annotation to support the development of advanced AI and Natural Language Processing (NLP) systems who you will apply your linguistic expertise to annotate, review, and validate language data, ensuring accuracy, consistency, and cultural relevance. Key Responsibilities • Annotate and review text, speech, or conversational datasets • label and text data for parts of speech, sentiment, intent, syntax project guidelines. • Ensure cultural and contextual appropriateness of annotated data • Develop and refine annotation guidelines • Conduct quality assurance and inter-annotator agreement checks • Provide feedback to improve workflows and annotation standards • Support multilingual or domain-specific annotation projects (if applicable) Requirements • Bachelor’s or Master’s degree in Linguistics, Applied Linguistics, Languages, or related field • Native or near-native proficiency in the target language(s) • Strong understanding of grammar, syntax, and language structure. • Experience in linguistic annotation or data labeling projects. • Familiarity with NLP concepts and AI workflows. • Experience with annotation tools (e.g., Label Studio, Prodigy, ELAN). • Knowledge of corpus linguistics or discourse analysis. • Multilingual capabilities.
AI & Process Automation Specialist
Company Description We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Checkout.com's Process Architecture pillar designs how operations should work. This role builds what that looks like in practice. You'll use modern AI-assisted development tools, Cursor, Claude Code, n8n, and LLM APIs, to rapidly prototype and ship internal tools that eliminate manual effort across our operational teams. Your primary customers are Disputes, Due Diligence, and Transaction Monitoring: high-volume, high-stakes teams where the right automation meaningfully reduces analyst burden and improves decision quality. You'll move fast. You'll take processes that currently live in spreadsheets and manual case queues and turn them into something that mostly runs itself. Process Architects redesign how work flows; you make the new flow real. What You'll Do • Use AI-assisted development (Cursor, Claude Code) to prototype and ship tools for operational teams - fast. • Build workflow automations that connect case management systems, document stores, APIs, and LLMs into end-to-end pipelines • Create analyst-facing interfaces, triage tools, summary generators using self-built applications, Retool, or similar. • Apply LLMs where they reduce cognitive load: classification, case summarisation, structured extraction, decision support. • Embed with Disputes, CDD, Periodic Review, and Transaction Monitoring to learn how analysts actually work - not how the process doc says they do. • Translate vague pain points i.e "this part takes forever" into shipped tools in days or weeks, not quarters. • Demo early, iterate based on what analysts actually use versus ignore. • Treat every tool as a product: instrument usage, capture feedback, measure time saved or quality gained. • Document what you build and share reusable patterns so good ideas compound. What We're Looking For We care more about what you've built and how you think than years of experience or formal credentials. Must-haves • You've used Cursor, Claude Code, Copilot, or similar to build something real, a script, a tool, a side project, that solved an actual problem. Not just tutorials • Comfortable in Python, or willing to be within weeks. • Basic API fluency: you can read a doc, make a request, parse the response, and chain a few calls • Familiarity with at least one LLM API. You've written a prompt, gotten structured output back, and understood why it sometimes goes wrong • Bias to ship - you'd rather get a rough version in front of users on Friday than a polished version in three weeks • Curiosity. You're the kind of person who opens the hood - you want to understand how things work, not just use them Nice-to-haves • Workflow automation tools (Zapier, n8n, Make) • Retool, Gradio, or similar lightweight UI frameworks • Git, basic SQL, or comfort with JSON/CSV at scale • Exposure to payments, fraud, compliance, or risk operations - even tangentially • A portfolio, GitHub, or demo you can walk us through Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram
AI & Process Automation Specialist
Company Description We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Checkout.com's Process Architecture pillar designs how operations should work. This role builds what that looks like in practice. You'll use modern AI-assisted development tools, Cursor, Claude Code, n8n, and LLM APIs, to rapidly prototype and ship internal tools that eliminate manual effort across our operational teams. Your primary customers are Disputes, Due Diligence, and Transaction Monitoring: high-volume, high-stakes teams where the right automation meaningfully reduces analyst burden and improves decision quality. You'll move fast. You'll take processes that currently live in spreadsheets and manual case queues and turn them into something that mostly runs itself. Process Architects redesign how work flows; you make the new flow real. What You'll Do • Use AI-assisted development (Cursor, Claude Code) to prototype and ship tools for operational teams - fast. • Build workflow automations that connect case management systems, document stores, APIs, and LLMs into end-to-end pipelines • Create analyst-facing interfaces, triage tools, summary generators using self-built applications, Retool, or similar. • Apply LLMs where they reduce cognitive load: classification, case summarisation, structured extraction, decision support. • Embed with Disputes, CDD, Periodic Review, and Transaction Monitoring to learn how analysts actually work - not how the process doc says they do. • Translate vague pain points i.e "this part takes forever" into shipped tools in days or weeks, not quarters. • Demo early, iterate based on what analysts actually use versus ignore. • Treat every tool as a product: instrument usage, capture feedback, measure time saved or quality gained. • Document what you build and share reusable patterns so good ideas compound. What We're Looking For We care more about what you've built and how you think than years of experience or formal credentials. Must-haves • You've used Cursor, Claude Code, Copilot, or similar to build something real, a script, a tool, a side project, that solved an actual problem. Not just tutorials • Comfortable in Python, or willing to be within weeks. • Basic API fluency: you can read a doc, make a request, parse the response, and chain a few calls • Familiarity with at least one LLM API. You've written a prompt, gotten structured output back, and understood why it sometimes goes wrong • Bias to ship - you'd rather get a rough version in front of users on Friday than a polished version in three weeks • Curiosity. You're the kind of person who opens the hood - you want to understand how things work, not just use them Nice-to-haves • Workflow automation tools (Zapier, n8n, Make) • Retool, Gradio, or similar lightweight UI frameworks • Git, basic SQL, or comfort with JSON/CSV at scale • Exposure to payments, fraud, compliance, or risk operations - even tangentially • A portfolio, GitHub, or demo you can walk us through Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram