Senior Data Scientist

At Sytac, we build high-performing engineering teams for leading organizations. We combine a pragmatic, people-first culture with technical craftsmanship, giving engineers autonomy in real production environments.

For one of our key clients in the Netherlands, we are looking for a Data Scientist – GraphRAG who wants to be at the forefront of AI transformation in one of Europe's largest financial institutions. You'll join a specialized team leveraging graph technology to enhance GenAI capabilities bank-wide — including critical social impact initiatives such as the fight against financial crime.

You'll explore, validate, and develop how GraphRAG can ground Large Language Models with structured knowledge — and turn those experiments into production-ready solutions that scale across the organisation.

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What you'll do

• Build responsible and cost-effective GraphRAG solutions on large, unstructured datasets — working with transaction data from over 8 million customers.
• Analyse and optimise critical code to improve performance and scalability across the data platform.
• Turn explorational notebooks into a maintainable, testable, and production-ready codebase.
• Create reusable building blocks that can be adopted across the bank — standardised, scalable, and built to last.
• Take the lead in sharing best practices, mentoring teammates, and fostering a culture of engineering excellence.
• Experiment with graph-based retrieval strategies and integrate them within the Data & Analytics landscape.
• Tackle complex technical challenges and elevate the skills of those around you.

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What we're looking for

• Bachelor's or Master's degree in Data Science, Applied Mathematics, IT, or a related field.
• At least 5 years of experience as a Data Scientist with a strong focus on software engineering — not just modelling.
• Strong Python expertise and solid object-oriented programming and software engineering skills — this is non-negotiable.
• Proficient with Git, Databricks, PySpark, and cloud platforms (Azure).
• A passion for building clean, well-structured, maintainable, and testable solutions that are built for scale and reuse.
• Solid understanding of statistical modelling and machine learning.
• Curious, proactive, collaborative, and open to learning — you elevate the team around you.
• Strong English communication skills, both spoken and written.
• Based in the Netherlands.

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Nice to have

• Experience with Knowledge Graphs, GraphRAG, Semantics, and Ontologies — a significant plus.
• Experience in model deployment, performance tuning, and monitoring via MLOps/DevOps practices.
• Background working in regulated or financial services environments at scale.

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Practical details

• ⏱️ Hours per week: 36
• 📅 Start date: As soon as possible
• 🏁 End date: 31 December 2026, with possibility of extension depending on 2027 budget
• 📍 Location: Netherlands (on-site/hybrid)
• 🔖 Engagement: 1 FTE

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Life at Sytac

Working at Sytac means joining a community that prioritizes your growth. Our benefits package is designed for flexibility, learning, and adventure:

• Unlimited Growth Days: Enjoy your professional development and Sytac activities! 📚
• The Best Gear: Pick a private laptop (<€4,000) with 50% paid by us, plus a tech budget. 💻
• Invest in You: A €2,400 annual growth budget for training and conferences. 🌿
• Future Proof: We contribute 3.75% to your pension.
• Legendary Trips: Join our annual ski trips, beach BBQs, and epic parties! ⛷️