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.

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.

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.

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.

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! ⛷️