Senior Data Scientist W - M H/F - 59

As a global key player in yeasts and fermentation, Lesaffre designs, manufactures and markets innovative solutions forBaking, Food taste & pleasure, Health care and Biotechnology.

Family group born in northern France in 1853, now a multi-national and a multicultural company, Lesaffre is committed toworking with confidence to better nourish and protect the planet.
In close collaboration with its clients and partners, Lesaffre employs11 000 peoplein more than50 countries.

Lesaffre achieves a turnover of 3 billion euros.Within its global transformation, the Digital, Data & Tech (DD&T) department drives Lesaffre's digital and data journey across four strategic pillars:

- Smart Operations (industrial efficiency & sustainability)
- Augmented R&D (accelerated innovation through data & AI)
- Customer Centricity (personalized and data-driven customer engagement)
- Empowered Enterprise (AI copilots and decision support)

As a Senior Data Scientist, you will be a key contributor to Lesaffre's AI transformation, designing, developing, and deploying advanced AI models to solve complex business challenges across industrial, R&D, and commercial activities.

You will work within an agile squad alongside Product Managers, Data Engineers, and MLOps specialists to deliver reliable, scalable, and impactful AI solutions.
You will act as a technical expert, ensuring that models are built with quality, explainability, and measurable business value.

Your main missions will be :

1. Design and Delivery of AI Solutions

- Lead the end-to-end development of Data Science models, from scoping to production.
- Build predictive, prescriptive, and generative AI models to improve operational performance, quality, and decision-making.
- Collaborate closely with Product Managers, Data Engineers, and business experts to translate business needs into concrete solutions.

2. GenAI and Productivity Enhancement

- Use GenAI code assistant tools (e.g., GitHub Copilot, Claude, ...) to accelerate coding, testing, and documentation.
- Contribute to agentic AI and copilot initiatives empowering Lesaffre employees through conversational interfaces.
- Promote responsible and efficient use of GenAI tools within the team.

3. Industrialization and MLOps

- Ensure robustness, reproducibility, and scalability through MLOps standards (MLflow, DVC, CI/CD, Docker).
- Work with Data Engineers to optimize data pipelines and model serving in AWS / Snowflake environments.
- Monitor model performance, detect drift, and ensure continuous improvement.

4. Governance and Ethics

- Apply Lesaffre's AI Governance and Ethical AI Charter, ensuring fairness, transparency, and compliance with the EU AI Act.
- Document models, datasets, and assumptions to ensure auditability and responsible AI practices.

5. Knowledge Sharing and Community Contribution

- Share expertise and best practices with peers across the AI Community of Practice.
- Support upskilling initiatives and contribute to methodological and technical excellence.