Hybrid Data Scientist — AI for Biopharma & Manufacturing

Sanofi Group; Lyon; Hybrid; EUR 54,000 - 73,000; Full time

Job summary

Sanofi in Lyon is seeking a Data Scientist to join the Manufacturing & Supply Digital team. You will work on AI/ML projects using real-time IoT data from production and laboratory equipment, collaborating with global teams to deliver scalable data products.

The role requires strong coding skills in Python or R, experience with ML/DL, time series forecasting, and data visualization. A PhD or Master’s in a quantitative field is preferred, with fluency in English and French.

Qualifications

• PhD or Master’s in mathematics, computer science, engineering, physics, statistics, economics, or related quantitative field.
• Strong coding skills in Python or R, with production-ready ML/AI experience.
• Experience applying ML/DL to business or biopharma contexts is a plus.
• Experience with data visualization and storytelling using BI tools.

Responsibilities

• Translate business needs into technical data science requirements.
• Apply ML/DL, forecasting, and optimization to multiple AI projects.
• Gather and organize large data assets and develop data models.
• Build models, simulations, and deploy production-ready AI solutions.
• Collaborate with engineers, MLOps, and global teams to scale solutions.
• Mentor junior data scientists and analysts.

Skills

Python

R

Machine learning

Deep learning

Forecasting

Data visualization

Cross-functional collaboration

MLOps

Education

PhD in a quantitative field

Tools

SQL

NoSQL

Graph DBs

Timeseries

Cloud (AWS/GCP)

Job description

Sanofi in Lyon is seeking a Data Scientist to join the Manufacturing & Supply Digital team. You will work on AI/ML projects using real-time IoT data from production and laboratory equipment, collaborating with global teams to deliver scalable data products.

The role requires strong coding skills in Python or R, experience with ML/DL, time series forecasting, and data visualization. A PhD or Master’s in a quantitative field is preferred, with fluency in English and French.