Accelerator Digital Lead Data Scientist (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

Lead Data Scientist

• Hybrid: 60% office based, 40% remote
• Permanent, Fulltime
• Location: Lyon

About the job

As part of Digital M&S Accelerator you will develop high‑value digital products to accelerate launches, create lighthouse factories and reduce manufacturing costs.

Responsibilities

• Work with business teams to understand requirements and translate them into technical needs.
• Engage with external data partners to evaluate and build relationships to acquire real‑world data assets.
• Collect and mine data from disparate sources, digging into underlying processes.
• Define how data science can accelerate digital products, improving patient journey insights and interventions.
• Identify opportunities for data‑centric AI approaches to enrich M&S models.
• Use data analysis, visualization and storytelling to scope, define and deliver AI‑based data products that optimise manufacturing and supply chain.
• Build models, algorithms, simulations and performance evaluations using state‑of‑the‑art machine learning technologies.
• Work closely with data engineers and full‑stack engineers.
• Build, manage and lead a team of data analysts and data scientists.
• Mentor and train team members on data organisation and interpretation.
• Evaluate data assets regularly and identify potential impact on downstream analyses.

About you

You are a dynamic data scientist who challenges the status quo, develops AI/ML solutions with robust lifecycle management, and demonstrates improvement opportunities across technologies in a cross‑functional environment.

Experience

• 8 to 10 years of experience.
• Experience deploying models in product‑focused development within agile environments.
• 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 analysts.
• Continuous support to team members in their professional development.
• Healthcare or manufacturing experience is a strong plus.

Soft skills

• Excellent written and verbal communication.
• Experience driving alignment and results across multiple teams.
• Service‑oriented, flexible, positive team player.
• Self‑motivated and takes initiative.
• Problem solving and critical thinking.

Technical skills

• Expertise in business analysis, data visualization and storytelling.
• Core data science languages such as Python, R, C++ and familiarity with SQL, NoSQL, graph and timeseries databases.
• Expertise with sensitive data in critical environments such as healthcare and defence.
• Supervised, unsupervised, deep learning, LLMs, reinforcement learning, federated learning, time‑series forecasting, Bayesian statistics, optimisation.
• Comfortable working in cloud and high‑performance computing environments such as AWS, Azure, Apache Spark.
• Hands‑on AI/ML modelling on complex datasets with CI/CD and orchestration.
• Knowledge of Tableau, Power BI, Streamlit or similar.
• Experience with enterprise‑level APIs.
• Experience with database mining, big data and large‑scale virtual screening (Bayesian optimisation 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 and domain experience.

Languages

• English, French.

Benefits

• Open and collaborative environment with a world‑class team.
• Strong focus on diversity, inclusion and a variety of backgrounds.
• Meaningful work that combines pharma, manufacturing, environmental matters and technology.
• Abundant opportunities for professional growth and impact.
• Opportunity to pioneer digital transformation shaping global health.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.