{"id":4259619,"url":"https://alion.io/job/kering-saint-laurent-data-scientist-intern","title":"SAINT LAURENT Data Scientist Intern","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":76,"open_postings":222,"ghost_share":0,"stale_share":0.941,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Rive","optional":false},{"name":"SAS","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-13T14:52:16Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-14T02:44:47Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Summary\nABOUT SAINT LAURENTFounded in 1961, Yves Saint Laurent was the first couture house to introduce the concept of luxury prêt-à-porter in a 1966 collection called ‘Rive Gauche’, synonymous with youth and freedom. This shift represented a first critical step in the modernization of fashion and revolutionized the socio-cultural landscape.\nToday, Saint Laurent collections include women’s and men’s ready-to-wear, shoes, handbags, small leather goods, jewelry, scarves, ties and eyewear.\nJob Description\nROLE\nYou will join the Data & AI team at Saint Laurent, working on advanced analytics, machine learning systems, and AI-driven products supporting business decision-making.\nMISSION\nAs a Data Scientist Intern, you will contribute to the development of machine learning models and data-driven systems by leveraging internal and external datasets, including open data and web sources.\nKey Responsabilities:\n1. Data Acquisition & Feature Engineering\nCollect and structure internal and external datasets for modeling purposes\nDevelop data pipelines (APIs, web scraping, open data sources)\nPerform data cleaning, transformation, and feature engineering for ML use cases\nBuild enriched datasets to improve model performance\n2. Data Analysis & Experimentation\nConduct exploratory data analysis to identify patterns and insights\nSupport hypothesis testing and data-driven experimentation\nBuild analytical datasets to support model training and evaluation\nContribute to data storytelling for business stakeholders\n3. Machine Learning & AI Development\nParticipate in the design, training, and evaluation of machine learning models\nContribute to AI use cases such as prediction, classification, and recommendation systems\nExplore and prototype LLM-based or agentic AI systems\nMonitor model performance and iterate on improvements\nPROFILE\nMaster's student in Data Science, Machine Learning, Computer Science, or related field\nStrong Python and SQL skills\nSolid understanding of machine learning fundamentals\nExperience with data manipulation libraries (pandas, scikit-learn, etc.)\nInterest in AI systems, LLMs, or applied machine learning\nCurious, rigorous, and comfortable working with complex datasets\nData & AI Team\nLocation: Paris, France\nInternship of 6 months to meet in February 2027.\nSaint Laurent is committed to creating a diverse workforce. We believe that diversity in all its forms - gender, age, nationality, culture, religious beliefs and sexual orientation - enriches the workplace. It opens opportunities for people to express their talents, both individually and collectively, and helps to strengthen our ability to adapt to a changing world. 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