{"id":64115,"url":"https://alion.io/job/sanofi-accelerator-data-scientist-lyon","title":"Data Scientist","company":{"id":146,"name":"Sanofi","domain":"sanofi.com","url":"https://alion.io/company/sanofi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":96,"open_postings":117,"ghost_share":0,"stale_share":0.316,"repost_share":0.043,"time_to_fill_p50_days":14,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lyon, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":87000,"period":"year","method":"role_country_seniority_unknown","sample_n":162},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Edge AI","optional":false},{"name":"Lighthouse","optional":false},{"name":"Machine Learning","optional":false},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"Federated Learning","optional":true},{"name":"GCP","optional":true},{"name":"Matplotlib","optional":true},{"name":"Plotly","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Seaborn","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Streamlit","optional":true},{"name":"Tableau","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-08-19T00:00:00Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-17T07:49:52Z","board_verified":true,"closed_at":null,"days_open":59,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":59},"description":"Le contenu du poste est libellé en anglais car il nécessite de nombreuses interactions avec nos filiales à l’international, l'anglais étant la langue de travail.\nThis job offer is accessible to all, regardless of gender.\nJob title: Data Scientist\nLocation: Lyon\nHybrid: 60% office / 40% remote\nPermanent: Fulltime\nAbout the job\nAt Sanofi, we’re committed to transform the practice of medicine through break-through science. Within Sanofi, Manufacturing & Supply (M&S) is the bridge between Science and Patients, ensuring all patients get their dose reliably, that new medicines are launched faster to cover unmet needs and that they can be delivered affordably across the globe. At Sanofi we are convinced that Manufacturing is, and must in the future increasingly be, a competitive advantage and that digital unlocks every next step in that journey.\nJoin Sanofi Manufacturing & Supply (M&S): Where Innovation Meets Life-Saving Impact in the Heart of Lyon!\nImagine working in a vibrant startup environment, right in Lyon's bustling city center!\nSanofi M&S offers an unparalleled playground at the intersection of drug development, advanced manufacturing, and cutting-edge AI. Here, you'll:\nSupport 12 blockbuster launch teams and 40 global factories across R&D and M&S \nWork with real-time IoT data from state-of-the-art production and laboratory equipment \nContribute to one of the strongest treatment pipelines in biopharma \nCollaborate with world-class scientists, engineers, and experts driving digital transformation \nAs part of our Digital M&S Accelerator, you'll develop high-value digital products to:\n1. Accelerate yearly launches of 3-5 new blockbuster medicines (€1B+ annual revenue each)\n2. Create best-in-class digitalized \"Lighthouse\" factories\n3. Drive manufacturing performance to reduce costs by over €500M in the next five years\nBut wait, there's more!\nYour innovative journey takes place in a prime location:\nEmbrace the startup vibe in our cutting-edge office space \nEnjoy countless amenities right at your doorstep - from nice cafés to restaurants \nBenefit from excellent public transport connections for an easy commute \nExperience the perfect blend of work and life in one of France's most dynamic cities Ready to shape the future of biomanufacturing, make a real-world impact on patients' lives, and do it all from an amazing location? \nJoin us in Lyon and be part of something extraordinary!\nMain responsibilities:\nWork with business teams to understand requirements, and translate them into technical needs\nApply data science expertise in machine/deep learning, statistics, forecasting and optimization to multiple AI projects/products\nGather/organize large & complex data assets, and perform relevant analysis to propose and implement relevant data models for each business case\nBuild models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologies\nWork on full-spectrum of activities, from conducting ML experiments to delivering production-ready models\nUse data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products\nWork with developers, engineers, and MLOps to industrialise and deliver scalable AI/ML solutions\nParticipate and contribute to the global data science community of practice\nBe accountable and responsible for the robustness of the AI solution\nApply responsible AI framework and governance best practices such as monitoring, explainability, trustworthy, ethical\nMentor junior data scientists and analysts providing guidance in career development and technical growth\nYou are a dynamic data scientist interested in challenging the status quo to ensure development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influencer and leader who has deployed AI/ML solutions applying state-of-the art algorithms with technically robust lifecycle management. You have a keen eye for improvement opportunities and a demonstrated ability to deliver AI/ML solutions while working across different technologies and in a cross-functional environment.\nAbout you\nExperience:\nExperience developing deployable code and deploying models in product-focused development under an agile environment\nExperience in production-ready software development\nTrack record of applying machine learning/deep learning approaches to solve various problems (commercial, industrial, research)\nExperience with database mining, big data, and large-scale virtual screening\nExperience in a healthcare company is a strong plus\nExperience in IoT and timeseries forecasting is a plus\nSoft skills:\nExcellent written and verbal communication skills\nExperience working with multiple teams to drive alignment and results\nService-oriented, flexible, positive team player\nSelf-motivated, takes initiative\nProblem solving & critical thinking\nTechnical skills:\nExpertise in business analysis, data visualization and data storytelling\nExpertise with core data science languages (such as Python, R), and familiarity with different database systems (e.g. SQL, NoSQL, graph, timeseries)\nExpertise with sensitive data in critical environments (healthcare, defense, etc.)\nExpertise within most of the following areas: supervised learning, unsupervised learning, deep learning, LLMs, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization\nComfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)\nHands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML (CI/CD, Orchestration)\nExperience in data visualisation technologies and librairies of Tableau, Power BI, Streamlit, Plotly, seaborn or similar\nExperience with various enterprise-level Application Programming Interfaces (APIs)\nGood knowledge of AI regulations\nEducation:\nPhD in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain\nLanguages:\nEnglish, French\nWhat we offer you:\nA fixed salary over 12 months, supplemented by a short-term incentive, as well as a collective variable compensation based on Sanofi Group results.\nBecause taking care of our employees is also our mission:\n Benefits & Well-being: Quality health insurance, extended maternity/parental leave (18/14 weeks), enhanced support in case of illness, teleconsultation and second medical opinion covered by Sanofi, as well as many other wellness programs to discover here. \nWork-Life Balance: 31 days of paid leave + RTT depending on your status, remote work up to 2 days/week \nTransportation: Public transport coverage up to 80% \nSavings & Retirement: Group Savings Plan and PERCOL with employer matching, and PERO \nProfessional Development: Internal and international mobility opportunities, learning & development opportunities \n And more: platforms dedicated to peer-to-peer recognition & service exchanges between Sanofi employees (carpooling, home exchanges, etc.), numerous CSE benefits...\nWhy choose us?\nWe provide a highly open and collaborative environment, with an opportunity to work with a world class team. You will be able to:\nLearn what it takes to make a service with a truly global reach \nBe part of an organization that values diversity, inclusion, and the richness of different backgrounds and experiences\nEngage in meaningful work that combines the challenges of pharma, manufacturing, environmental matters and technical fields, offering abundant opportunities for professional growth and impact\nContribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health\n#LIFRA #LI-Hybrid\nPursue progress, discover extraordinary\nBetter is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.\nAt Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.\nWatch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!\nThe salary range for this position is :€54,400.00 - €72,533Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. 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