Data Scientist

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pDigiTribe is looking for a GenAI Data Scientist in Belgium to help large organisations turn AI opportunities into real, secure business solutions. You will design, prototype and industrialise use cases based on LLMs and Retrieval-Augmented Generation (RAG), mainly in Azure environments. /ph3Your responsibilities will include: /h3ulliIdentify and scope GenAI use cases with business stakeholders, such as knowledge assistants, document analysis and process automation. /liliDesign and build RAG solutions, covering document ingestion, chunking, embeddings, vector search and prompt engineering. /liliDevelop solutions with Azure OpenAI, Azure AI Search, Azure Machine Learning and related services. /liliEvaluate and improve model performance, including answer quality, hallucination control and relevance metrics. /liliMove prototypes into production with engineering teams, following MLOps/LLMOps practices. /liliEnsure responsible AI principles, data privacy, security and compliance with regulations such as the EU AI Act and GDPR. /liliShare knowledge and help raise AI maturity within client teams. /li /ulh3What we’re looking for /h3pThe ideal candidate will have: /pulliAt least 3 years of experience in data science or machine learning, with recent hands-on work on GenAI/LLM projects. /liliPractical experience building RAG pipelines, using frameworks such as LangChain, LlamaIndex or Semantic Kernel. /liliStrong Python skills and a solid grounding in NLP and machine learning fundamentals. /liliExperience with Azure AI services such as Azure OpenAI and Azure AI Search. /liliAbility to explain AI concepts, limits and risks to non-technical audiences. /liliFluent English, French and/or Dutch. /li /ulpNice to have: /pulliExperience with vector databases, agentic workflows, fine-tuning or LLM evaluation frameworks. /liliExperience with Databricks or Microsoft Fabric. /liliExperience in banking, insurance or other regulated sectors. /li /ul

Data Scientist

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Data Scientist

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