Within its global transformation the Digital Data & Tech (DD&T) department drives Lesaffres 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 Lesaffres 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 Lesaffres 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.Qualifications :
Education & Experience
MSc or PhD in Applied Mathematics Computer Science Engineering or related field .5 years of experience as a Data Scientist ideally in industrial biotech or retail contexts.Proven experience in end-to-end AI project delivery and production deployment .Technical Skills
Proficient in Python pandas scikit-learn PyTorch or TensorFlow .Experience with Generative AI models (LLMs embeddings RAG pipelines vector databases).Familiarity with GitHub Copilot Claude or similar AI code assistants .Skilled in SQL and Snowflake with solid understanding of data engineering concepts .MLOps experience (MLflow DVC Airflow Docker CI / CD).Strong data visualization and communication skills.Soft Skills
Pragmatic analytical and business-oriented mindset.Collaborative and open to feedback thriving in cross-functional teams.Ability to communicate complex topics clearly and effectively.Fluent in English; French is a plus.Additional Information :
What can Lesaffre offer you :
We are a successful family-owned company with long-standing history where people truly matter.We promote a sense of fulfilment with a genuine mission : nourish and protect the planet.A good working atmosphere in a brand-new Campus (With a Gym a Restaurant ) fostering synergies and teamwork.At Lesaffre diversity is a strength that enriches our culture and our teams. We are committed to offering you a work environment where you can thrive regardless of your background gender age or abilities. We encourage all applications as we believe that diverse perspectives strengthen our ability to innovate and meet the challenges of tomorrow.
Remote Work : No
Employment Type : Full-time
Key Skills
Laboratory Experience,Mammalian Cell Culture,Biochemistry,Assays,Protein Purification,Research Experience,Next Generation Sequencing,Research & Development,cGMP,Cell Culture,Molecular Biology,Flow Cytometry
Experience : years
Vacancy : 1