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# Data Scientist - GraphRAG

- **Company:** LEVY PROFESSIONALS
- **Location:** Utrecht, Netherlands
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, DevOps, Graph Database, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Software Engineering, Unstructured Data, Large Language Models, Git, Pyspark, Information Technology, Machine Learning Operations, Databricks
- **Published:** July 24, 2026
- **Apply:** https://nl.indeed.com/viewjob?jk=85f5a8f4b60d4379

## About the Role

Are you passionate about building intelligent, production-ready AI solutions that solve complex real-world problems? We're looking for a Data Scientist with a strong software engineering mindset who enjoys transforming innovative ideas into scalable applications. You'll work with cutting-edge GraphRAG technology, Large Language Models (LLMs), and graph-based analytics to help deliver impactful AI solutions within a highly collaborative environment., * Bachelor's or Master's degree in Data Science, Applied Mathematics, Computer Science, IT, or a related discipline.

 * 5+ years of experience as a Data Scientist with a strong focus on software engineering and production-grade development.
 * Strong expertise in Python, object-oriented programming, Git, Databricks, PySpark, and Microsoft Azure.
 * Solid understanding of statistical modelling, machine learning, and experience building reusable, scalable software solutions.
 * Experience with GraphRAG, Knowledge Graphs, semantics, ontologies, or MLOps/DevOps is highly desirable.

## Description

* Design, develop and optimise GraphRAG solutions using large-scale structured and unstructured datasets.
 * Transform experimental notebooks and AI prototypes into clean, maintainable, and production-ready software.
 * Build reusable software components and engineering frameworks that can be leveraged across multiple teams.
 * Optimise code for performance, scalability, and reliability while contributing to enterprise AI initiatives.
 * Mentor colleagues, share engineering best practices, and contribute to a culture of technical excellence.


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