Accelerator Digital Lead Data Scientist (Lyon)
Lyon, France Regular Posté le Oct. 03, 2025 Expire le Feb. 03, 2026Le 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.
This job offer is accessible to all, regardless of gender.
Job title:Lead Data Scientist
- Location: Lyon
About the job
About Sanofi:
We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.
At 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.
Join Sanofi Manufacturing & Supply (M&S): Where Innovation Meets Life-Saving Impact in the Heart of Lyon!
Imagine working in a vibrant startup environment, right in Lyon's bustling citycenter!🏙️
Sanofi M&S offers an unparalleled playground at the intersection of drug development, advanced manufacturing, andcutting-edgeAI. Here,you'll:
- Support 12 blockbuster launch teams and 40 global factories across R&D and M&S
- Work with real-time IoT data fromstate-of-the-artproduction and laboratory equipment
- Contribute to one of the strongest treatment pipelines in biopharma
- Collaborate with world-class scientists, engineers, and experts driving digital transformation
As part of our Digital M&S Accelerator,you'lldevelop high-value digital products to:
- Accelerate yearly launches of 3-5 new blockbuster medicines (€1B+ annual revenue each)
- Create best-in-class digitalized "Lighthouse" factories
- Drive manufacturing performance to reduce costs by over €500M in the next five years
But wait,there'smore!🎉
Your innovative journey takes place in a prime location:
- Embrace the startup vibe in ourcutting-edgeoffice space
- Enjoy countless amenities right at your doorstep
- From nice cafés to restaurants
- Benefit from excellent public transport connections for an easy commute
- Experience 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?
Join us in Lyon and be part of something extraordinary! 🚀
About Growing with us
In this role you will:
- Work with business teams to understand requirements, and translate them into technical needs
- Directly engage with external data partners to evaluate and build relationships to acquire and access real-world data assets
- Collect and mine data from disparate data sources, and willing to dig deeper and understand the process that creates the data
- Define and refine how Data Science can accelerate Sanofi digital products, with the goal of using data science to better understand the patient journey and to help us tailor interventions that maximize patient benefit
- Proficient at collecting and mining data from disparate data sources, and willing to dig deeper and understand the process that creates the data
- Identify opportunities for data-centric AI approaches to enrich M&S models
- Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products to accelerate and optimize manufacturing and supply chain
- Understanding and effectively work with a wide variety of data sources, such as structured and unstructured data, IoT data
- Generate work product that includes interactive visualizations, presentations, publications, web applications, predictive algorithms, and APIs
- Build models, algorithms, simulations, and performance evaluation by writing highly optimized, deployable code and using state-of-the art machine learning technologies
- Regularly evaluate data assets and identify potential impact on downstream analysis
- Build, manage and lead a team made of data analyst and data scientist
- Work in close relationship with data engineers and full stack engineers
- Assist and train assistants and other members of the team on how to properly organize findings and read data collected
About you
You 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.
Experience:
- More than 8 to 10 years' experience
- Experience developing deployable code and deploying models in product-focused development under an agile environment
- Experience in production-ready software development
- Excellent business analysis, data visualization and data storytelling skills
- Excellent management and articulation of a team of Data Scientists and data analysts
- Continuous support to help team members throughout their personal and professional development
- Experience in a healthcare or manufacturing company is a strong plus
Soft skills:
- Excellent written and verbal communication skills
- Experience working with multiple teams to drive alignment and results
- Service-oriented, flexible, positive team player
- Self-motivated, takes initiative
- Problem solving & critical thinking
Technical skills:
- Expertise in business analysis, data visualization and data storytelling
- Expertise with core data science languages (such as Python, R, C++), and familiarity with different database systems (e.g. SQL, NoSQL, Graph, timeseries)
- Expertise with sensitive data in critical environments (healthcare, defense)
- Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, LLMs, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization
- Comfortable working in cloud and high-performance computing environments (e.g. AWS, Azure, Apache Spark)
- Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML (CI/CD, Orchestration)
- Knowledge of Tableau, Power BI, Streamlit or similar
- Experience with various enterprise-level Application Programming Interfaces (API's)
- Experience with database mining, big data, and large-scale virtual screening using Bayesian Optimization or Gaussian Processes is desired
- Strong knowledge of Data and AI regulations
Education:
- Master's degree in mathematics, computer science, engineering, physics, statistics, economics, computational sciences or a related quantitative discipline OR PhD + 3 years of relevant work & domain experience
Languages:
- English, French
Why choose us?
We provide a highly open and collaborative environment, with an opportunity to work with a world class team. You will be able to:
- Learn what it takes to make a service with a truly global reach
- Be part of an organization that values diversity, inclusion, and the richness of different backgrounds and experiences
- Engage in meaningful work that combines the challenges of pharma, manufacturing,environmental matters and technical fields, offering abundant opportunities for professional growth and impact
- Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health
PursueProgress. Discover Extraordinary.
Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.
#LI-FRA
#LI-Hybrid
Toujours Progresser. Découvrir l’Extraordinaire.
Rejoignez Sanofi et entrez dans une nouvelle ère de la science – où votre parcours peut être aussi transformateur que le travail que nous accomplissons. Nous investissons en vous pour que vous alliez plus loin, accélériez votre réflexion et accomplissiez ce qui n’a jamais été fait auparavant. Vous contribuerez à repousser les limites, à bousculer les conventions et à concevoir des solutions plus intelligentes pour les communautés que nous servons. Prêt·e à poursuivre les miracles de la science et à améliorer la vie des gens ? Poursuivons le progrès et découvrons l’extraordinaire – ensemble.
Chez Sanofi, nous croyons dans l’égalité des chances, sans distinction de race, de couleur, d’ascendance, de religion, de sexe, d’origine, d’orientation sexuelle, d’âge, de citoyenneté, d’état civil, de handicap, d’identité de genre ou de tout autre critère protégé par la loi.
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Carrières Sanofi en France
En France, 20 000 personnes, sur 28 sites partagent un objectif commun : fournir des médicaments et des vaccins aux personnes qui en ont le plus besoin. Dès le premier jour, les projets proposés détermineront votre carrière. Chercheur ou spécialiste du marketing, vous progresserez à l’aide des outils et ressources proposés. Développez vos compétences au sein d’équipes inclusives pour avoir un impact positif sur des millions de personnes dans le monde.
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