Accelerator - Data Scientist (Lyon)
Sanofi · Lyon ·
- Employment
- Full time
- Category
- Data science
- Experience
- 5+ years
Sanofi · Lyon ·
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.
This job offer is accessible to all, regardless of gender.
Job title: Data Scientist
Location: Lyon
Hybrid: 60% office / 40% remote
Permanent: Fulltime
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 city center! 🏙️
Sanofi M&S offers an unparalleled playground at the intersection of drug development, advanced manufacturing, and cutting-edge AI. Here, you'll:
Support 12 blockbuster launch teams and 40 global factories across R&D and M&S
Work with real-time IoT data from state-of-the-art production 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'll develop high-value digital products to:
1. Accelerate yearly launches of 3-5 new blockbuster medicines (€1B+ annual revenue each)
2. Create best-in-class digitalized "Lighthouse" factories
3. Drive manufacturing performance to reduce costs by over €500M in the next five years
But wait, there's more! 🎉
Your innovative journey takes place in a prime location:
Embrace the startup vibe in our cutting-edge office 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! 🚀
Main responsibilities:
Work with business teams to understand requirements, and translate them into technical needs
Apply data science expertise in machine/deep learning, statistics, forecasting and optimization to multiple AI projects/products
Gather/organize large & complex data assets, and perform relevant analysis to propose and implement relevant data models for each business case
Build models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologies
Work on full-spectrum of activities, from conducting ML experiments to delivering production-ready models
Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products
Work with developers, engineers, and MLOps to industrialise and deliver scalable AI/ML solutions
Participate and contribute to the global data science community of practice
Be accountable and responsible for the robustness of the AI solution
Apply responsible AI framework and governance best practices such as monitoring, explainability, trustworthy, ethical
Mentor junior data scientists and analysts providing guidance in career development and technical growth
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:
5 to 8 years' experience
Experience developing deployable code and deploying models in product-focused development under an agile environment
Experience in production-ready software development
Track record of applying machine learning/deep learning approaches to solve various problems (commercial, industrial, research)
Experience with database mining, big data, and large-scale virtual screening
Experience in a healthcare company is a strong plus
Experience in IoT and timeseries forecasting is a 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), and familiarity with different database systems (e.g. SQL, NoSQL, graph, timeseries)
Expertise with sensitive data in critical environments (healthcare, defense, etc.)
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, GCP, Databricks, Apache Spark)
Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML (CI/CD, Orchestration)
Experience in data visualisation technologies and librairies of Tableau, Power BI, Streamlit, Plotly, seaborn or similar
Experience with various enterprise-level Application Programming Interfaces (APIs)
Good knowledge of AI regulations
Education:
PhD in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain
Languages:
English, French
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
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. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s 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, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at !
Better 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.
At 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.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at !
The 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. Employees may be eligible to participate in Company employee benefit programs.