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Data Scientist

Lyon

Pay
Pay amount needs review — pay source
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! 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.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Sanofi

What you’ll work on

Full posting
  • Turn business requirements into technical needs and AI/ML data products

  • Build ML, deep learning, forecasting and optimization models and experiments

  • Take models from experiments to production-ready, scalable solutions with MLOps

  • Gather and analyse large, complex data assets to design data models

  • Apply responsible AI practices such as monitoring, explainability and governance

From the employer’s posting
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
Work with developers, engineers, and MLOps to industrialise and deliver scalable AI/ML solutions
Gather/organize large & complex data assets, and perform relevant analysis to propose and implement relevant data models for each business case
Apply responsible AI framework and governance best practices such as monitoring, explainability, trustworthy, ethical

What you’ll bring

All qualifications

Core experience

  • Experience developing deployable code and deploying models in product-focused development under an agile environment
  • Experience working with multiple teams to drive alignment and results
  • Expertise in business analysis, data visualization and data storytelling
  • Experience in production-ready software development
  • Expertise with core data science languages (such as Python, R), and familiarity with different database systems (e.g.
  • Experience with database mining, big data, and large-scale virtual screening

Preferred experience

  • Experience in IoT and timeseries forecasting is a plus
Qualification wording
Experience developing deployable code and deploying models in product-focused development under an agile environment
Experience working with multiple teams to drive alignment and results
Expertise in business analysis, data visualization and data storytelling
Experience in production-ready software development
Expertise with core data science languages (such as Python, R), and familiarity with different database systems (e.g. SQL, NoSQL, graph, timeseries)
Experience with database mining, big data, and large-scale virtual screening
Experience in IoT and timeseries forecasting is a plus
Education & alternatives
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:

Tools in this posting

  • Python
  • R
  • SQL
  • AWS
  • Databricks
  • GCP
  • NoSQL
  • Power BI
  • Spark
  • Tableau
  • Plotly
  • Streamlit
Source — Tool mentions in context
- 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)
- 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)

Posting record

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Open 3 monthsWe first saw this posting 119 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 3, 2026 · 119 days ago
Recorded sightings
148
Last seen by us
Oct 30, 2026

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Job description

View original posting ↗


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

About the job

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.


About you

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


What we offer you: 


A fixed salary over 12 months, supplemented by a short-term incentive, as well as a collective variable compensation based on Sanofi Group results. 


Because taking care of our employees is also our mission:  

  • 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. 
  • Work-Life Balance: 31 days of paid leave + RTT depending on your status, remote work up to 2 days/week 
  • Transportation: Public transport coverage up to 80% 
  • Savings & Retirement: Group Savings Plan and PERCOL with employer matching, and PERO 
  • Professional Development: Internal and international mobility opportunities, learning & development opportunities 
  • And more: platforms dedicated to peer-to-peer recognition & service exchanges between Sanofi employees (carpooling, home exchanges, etc.), numerous CSE benefits...


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

#LIFRA #LI-Hybrid

Pursue progress, discover extraordinary

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 sanofi.com!

The salary range for this position is :€54,400.00 - €72,533

Final 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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! 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.
Location & working pattern

Lyon

- Location: Lyon - Hybrid: 60% office / 40% remote - Permanent: Fulltime
More source context
- 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. - Work-Life Balance: 31 days of paid leave + RTT depending on your status, remote work up to 2 days/week - Transportation: Public transport coverage up to 80%

More relevant text appears in the full description.

Work authorization
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 sanofi.com!

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