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# Data Scientist (GenAI / RAG)

- **Company:** Digitribe
- **Location:** Belgium
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Python (Programming Language), Machine Learning, Performance Tuning, OpenAI, Azure Machine Learning, Enterprise Search, Retrieval-Augmented Generation, Large Language Models, Llamaindex, Agentic-AI, Microsoft Fabric, Azure AI, Evaluation of Large Language Models, Semantic Kernel, Databricks
- **Published:** November 12, 2026
- **Apply:** https://digitribe.be/jobs/data-scientist-genai-rag/

## About the Role

The ideal candidate will have:

 * At least 3 years of experience in data science or machine learning, with recent hands-on work on GenAI/LLM projects.
 * Practical experience building RAG pipelines, using frameworks such as LangChain, LlamaIndex or Semantic Kernel.
 * Strong Python skills and a solid grounding in NLP and machine learning fundamentals.
 * Experience with Azure AI services such as Azure OpenAI and Azure AI Search.
 * Ability to explain AI concepts, limits and risks to non-technical audiences.
 * Fluent English, French and/or Dutch.

Nice to have:

 * An Azure AI certification (AI-102 or DP-100).
 * Experience with vector databases, agentic workflows, fine-tuning or LLM evaluation frameworks.
 * Experience with Databricks or Microsoft Fabric.
 * Experience in banking, insurance or other regulated sectors.

## Description

* Identify and scope GenAI use cases with business stakeholders, such as knowledge assistants, document analysis and process automation.
 * Design and build RAG solutions, covering document ingestion, chunking, embeddings, vector search and prompt engineering.
 * Develop solutions with Azure OpenAI, Azure AI Search, Azure Machine Learning and related services.
 * Evaluate and improve model performance, including answer quality, hallucination control and relevance metrics.
 * Move prototypes into production with engineering teams, following MLOps/LLMOps practices.
 * Ensure responsible AI principles, data privacy, security and compliance with regulations such as the EU AI Act and GDPR.
 * Share knowledge and help raise AI maturity within client teams.