Senior Data Scientist

Навыки

• AI-инструменты в работе
• Azure
• Коммуникация
• Databricks
• Git
• Machine Learning
• MLOps

О компании и продукте

• 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.

Задачи

• 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

Требования

• 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

Будет плюсом

• 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
• 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
• 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! ⛷️

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