{"id":2722840,"url":"https://alion.io/job/kering-kering-junior-ai-scientist","title":"KERING Junior AI Scientist","company":{"id":1762937,"name":"Kering","domain":"kering.com","url":"https://alion.io/company/kering","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":75,"open_postings":197,"ghost_share":0,"stale_share":0.99,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-29T02:26:19Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"Summary\nGroupe de luxe mondial né d’une histoire familiale et entrepreneuriale, Kering réunit un ensemble de Maisons reconnues pour leur créativité en matière de couture et de prêt-à porter, de maroquinerie, de joaillerie, de lunetterie et de beauté : Gucci, Saint Laurent, Bottega Veneta, Balenciaga, McQueen, Brioni, Boucheron, Pomellato, Dodo, Qeelin, Ginori 1735, ainsi que Kering Eyewear et Kering Beauté. Inspirées par leur histoire et par leur patrimoine, les Maisons du Groupe conçoivent et façonnent des produits et des expériences d'exception qui reflètent l’engagement de Kering pour l’excellence, le développement durable et la culture. Cette vision s’incarne dans la signature du Groupe : Creativity is our Legacy. Comptant 47 000 collaborateurs, Kering a réalisé un chiffre d’affaires de 17,2 milliards d’euros en 2024.Job Description\nL’équipe Data & IA apporte au Groupe les expertises nécessaires pour tirer toute la valeur des données. Elle délivre des produits et services Data & IA, du conseil interne ainsi que des outils destinés aux collaborateurs du Groupe et des Maisons.\nNous sommes actuellement à la recherche d’un(e) Junior AI Scientist pour intégrer l’équipe.\nVotre opportunité\nVous rejoindrez un’équipe basée à Paris et composée d’AI scientists et d’ingénieurs qui développent en Python principalement dans un environnement GCP et AWS. Les projets couvrent des enjeux clés pour l’industrie du luxe, allant du développement à la mise en production, en s’appuyant sur les données stratégiques disponibles à l’échelle du groupe. En tant que Junior AI Scientist, vous intégrerez une squad thématique (Operations, Customer ou Merchandising) et vous contribuerez au développement d’applications IA et GenAI à fort impact business. Accompagné(e) par des profils plus expérimentés, vous monterez progressivement en autonomie sur des sujets concrets. Vous ferez partie d’une équipe dynamique et collaborative, où le partage des connaissances est au cœur de la culture.\nComment vous allez contribuer\nContribuer à des projets d’IA et de GenAI au sein d’une squad thématique (Operations / Customer / Merchandising), en réponse à des problématiques métier concrètes.\nAider à cadrer les problématiques métiers en approches data science : formulation d’hypothèses, choix des méthodes avec l’appui de profils seniors, définition des métriques et interprétation des résultats.\nConcevoir, entraîner, évaluer et monitorer des modèles ML et GenAI adaptés aux besoins de votre squad : prévision, recommandation, clustering, agents ou approches basées sur des LLMs.\nExplorer, qualifier et préparer les données nécessaires à vos analyses et à vos modèles.\nÉcrire un code clair, structuré et maintenable en Python et SQL, en appliquant les bonnes pratiques de l’équipe.\nCollaborer avec les équipes plateforme Data & Agentic pour le déploiement et le monitoring de vos solutions.\nParticiper à la veille technologique, expérimenter de nouvelles approches et partager vos apprentissages avec l’équipe.\nComment définir le succès à 12 mois\nVous menez en autonomie de premières analyses et modélisations de bout en bout sur des sujets bien cadrés, avec le bon niveau d’accompagnement.\nVos modèles et vos analyses produisent des résultats utiles, que les parties prenantes métiers comprennent et utilisent dans leurs décisions.\nLes métiers de votre squad vous identifient comme un interlocuteur fiable, capable de traduire un besoin en approche data et d’en restituer les résultats simplement.\nVous maîtrisez les outils clés du poste (Python, SQL, écosystème GCP et/ou AWS) et intégrez le feedback pour progresser vite.\nQui êtes-vous\nNous recherchons un(e) candidat(e) ayant de 0 à 2 ans d’expérience en data science, idéalement issu(e) d’une formation solide en data science, mathématiques appliquées, informatique ou dans un domaine similaire.\nVous possédez des connaissances ou une première expérience dans plusieurs des domaines suivants :\nCompréhension des algorithmes de machine learning (boosting, clustering, prévision de séries temporelles) et de leur mise en œuvre sur des cas d’usage concrets.\nFamiliarité avec les outils d’IA générative et leurs applications dans un contexte business.\nExploration, qualification et préparation des données.\nDéveloppement d’un code clair, structuré et maintenable, en Python et SQL.\nPremière exposition aux plateformes cloud (idéalement GCP) et aux pratiques MLOps (Docker, CI/CD) : un plus.\nSens de l’utilisateur et capacité à comprendre les enjeux métiers.\nCuriosité, esprit d’initiative, envie d’apprendre et goût du travail en équipe.\nL’anglais courant est indispensable. Le français est un plus ; si votre français n’est pas encore totalement opérationnel, nous vous accompagnerons pour atteindre un niveau opérationnel sous 6 à 12 mois. L’italien est un plus.\nSi ce poste vous enthousiasme mais que votre expérience ne correspond pas parfaitement à tous les critères, nous vous encourageons à postuler. Nous valorisons le potentiel, l’agilité d’apprentissage et la diversité des perspectives.\nPourquoi nous rejoindre ?\nVous souhaitez contribuer à des projets d’IA qui ont un impact direct sur les activités de Kering, et ne restent pas à l’état de preuve de concept ? Vous souhaitez apprendre au sein d’une équipe conviviale et pluridisciplinaire, où chacun partage ses idées et grandit ensemble ? Rejoignez-nous ! Venez partager vos idées et contribuer au développement de solutions en production.\nKering s'engage en faveur de la diversité. Nous croyons que la diversité sous toutes ses formes - genre, âge, nationalité, culture, handicap, croyances religieuses et orientation sexuelle - enrichit le lieu de travail. Nos collaborateurs ont ainsi des opportunités pour exprimer leurs talents, à la fois individuellement et collectivement, et cela contribue à renforcer notre capacité d'adaptation à un monde en mutation. En tant qu'employeur de l'égalité des chances, nous accueillons et considérons les candidatures de tous les candidats qualifiés, indépendamment de leurs antécédents.\nEnglish version\nKering is a global, family-led luxury group, home to people whose passion and expertise nurture creative Houses across ready-to-wear and couture, leather goods, jewelry, eyewear and beauty: Gucci, Saint Laurent, Bottega Veneta, Balenciaga, McQueen, Brioni, Boucheron, Pomellato, Dodo, Qeelin, Ginori 1735, as well as Kering Eyewear and Kering Beauté. Inspired by their creative heritage, Kering’s Houses design and craft exceptional products and experiences that reflect the Group’s commitment to excellence, sustainability and culture.\nThis vision is expressed in our signature: Creativity is our Legacy. In 2024, Kering employed 47,000 people and generated revenue of €17.2 billion.\nThe Data & AI team brings the Group the expertise needed to unlock the full value of its data. It delivers Data & AI products and services, internal consulting, and tools for the employees of the Group and its Houses.\nWe are currently seeking a Junior AI Scientist to join our team.\nYour opportunity\nYou will join a team based in Paris and composed by AI scientists and engineers who develop mainly in Python in a GCP and AWS environment. The projects cover key challenges for the luxury industry, from development to production, drawing on the strategic data available across the Group. As a Junior AI Scientist, you will join a themed squad (Operations, Customer or Merchandising) and contribute to the development of high-business-impact AI and GenAI applications. Supported by more experienced profiles, you will gradually grow in autonomy on concrete topics. You will be part of a dynamic, collaborative team where knowledge sharing is at the heart of the culture.\nHow you will contribute\nContribute to AI and GenAI projects within a themed squad (Operations / Customer / Merchandising), in response to concrete business problems.\nHelp frame business problems into data science approaches: hypothesis formulation, choice of methods with the support of senior profiles, definition of metrics and interpretation of results.\nDesign, train, evaluate and monitor ML and GenAI models suited to your squad's needs: forecasting, recommendation, clustering, agents or LLM-based approaches.\nExplore, qualify and prepare the data needed for your analyses and models.\nWrite clear, structured and maintainable code in Python and SQL, applying the team's best practices.\nWork with the Data & Agentic platform teams to deploy and monitor your solutions.\nTake part in technology watch, experiment with new approaches and share your learnings with the team.\nHow to define success in 12 months\nYou independently carry out first end-to-end analyses and modeling on well-scoped topics, with the right level of support.\nYour models and analyses produce useful results that business stakeholders understand and use in their decisions.\nThe business teams in your squad see you as a reliable point of contact, able to translate a need into a data approach and present the results simply.\nYou master the role's key tools (Python, SQL, GCP and/or AWS ecosystem) and integrate feedback to progress quickly.\nWho you are\nWe are looking for a candidate with 0 to 2 years of experience in data science, ideally with a solid background in data science, applied mathematics, computer science or a similar field.\nYou have knowledge of or first experience in several of the following areas:\nUnderstanding of machine learning algorithms (boosting, clustering, time-series forecasting) and their implementation on concrete use cases.\nFamiliarity with generative AI tools and their applications in a business context.\nData exploration, qualification and preparation.\nDevelopment of clear, structured and maintainable code, in Python and SQL.\nFirst exposure to cloud platforms (ideally GCP) and MLOps practices (Docker, CI/CD): a plus.\nUser focus and ability to understand business challenges.\nCuriosity, initiative, eagerness to learn and a taste for teamwork.\nFluent English is required. French is a plus; if your French is not yet fully operational, we will support you in reaching an operational level within 6 to 12 months. Italian is a plus.\nIf this role excites you but your experience doesn't match every criterion, we encourage you to apply. We value potential, learning agility and diversity of perspectives.\nWhy work with us?\nDo you want to contribute to AI projects that have a direct impact on Kering's business and don't stay at the proof-of-concept stage? Do you want to learn within a friendly, multidisciplinary team where everyone shares ideas and grows together? Join us! Come share your ideas and help develop production solutions.\nKering is committed to diversity and inclusion and to providing equal opportunities in employment. We believe diversity in all its forms - disability, age, color, ancestry, sex, national origin, sexual orientation, citizenship, marital status, gender identity, religion - enriches the workplace. It opens opportunities for people to express their talent, both individually and collectively, and it helps foster our ability to adapt to a changing world. 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