Data Scientist (GenAI / RAG)

Digitribe; Belgique; Remote; EUR 70,000 - 100,000; Full time

Job summary

DigiTribe in Belgium is seeking a GenAI Data Scientist to turn AI opportunities into secure business solutions. You will design, prototype and industrialise use cases based on LLMs and Retrieval-Augmented Generation (RAG), with a focus on Azure environments.

You will collaborate with business stakeholders to scope opportunities, build end-to-end RAG pipelines, evaluate performance, and move prototypes into production following MLOps practices while upholding privacy and compliance.

Qualifications

• ≥3 years of experience in data science or ML with GenAI/LLM projects.
• Hands-on building RAG pipelines with LangChain, LlamaIndex or Semantic Kernel.
• Strong Python skills and NLP/ML fundamentals.
• Experience with Azure AI services (Azure OpenAI, Azure AI Search).
• Ability to explain AI concepts and risks to non-technical audiences.
• Fluent in English and either French or Dutch.

Responsibilities

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

Skills

Python

NLP

Machine Learning

Communicating AI concepts

English

French

Dutch

Tools

LangChain

LlamaIndex

Semantic Kernel

Azure OpenAI

Azure AI Search

Azure Machine Learning

Databricks

Microsoft Fabric

Vector databases

Job description

DigiTribe 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.

Your responsibilities will include:

• 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.

What we’re looking for

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:

• 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.