Data Scientist (Senior) – AI & Data

You will help the client make its knowledge and data easier to find, analyse and reuse, including AI use cases. Planned work includes retrieval-augmented generation (RAG), knowledge graphs, entity recognition and sector analytics in areas like fisheries and public health.
Responsibilities
Design and build AI and ML solutions: RAG, classification, entity recognition, knowledge graphs.
Advise on AI readiness, data quality and responsible AI use.
Build analytics, BI dashboards and data models.
Support data architecture decisions for a planned enterprise analytics platform.
Document models and hand over to client staff.
Must have
3+ years in data science or ML engineering, with models in production.
Python (pandas, scikit-learn, PyTorch or similar) and SQL.
Hands-on LLM / RAG work (vector search, embeddings, evaluation).
Power BI or an equivalent BI tool.
Nice to have
Knowledge graphs, ontologies, metadata standards; geospatial data.
Azure AI services or Microsoft Fabric; scientific or public-health data; French.

Work arrangement
Yes