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Medior Data Scientist – Data Governance Area

Posted 20 Jan 2026
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Work experience
2 to 6 years
Full-time / part-time
Full-time
Job function
Salary
€4,931 - €7,043 per month
Degree level
Required language
English (Fluent)

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As a Medior Data Scientist in the Data Governance Area, you will deliver production-ready ML and LLM solutions that impact thousands of users and support 8,000 engineers across Rabobank.

You & your role

Design scalable, reliable, and responsible ML and LLM solutions that are tightly linked to engineering workflows. As a Medior Data Scientist, you will navigate ambiguity, adapt to shifting priorities, and persist through complexity. Your work will directly shape how Rabobank teams make decisions and deliver AI-driven experiences safely, at scale, every day.

Examples from practice

  • Design end-to-end pipelines for scalable RAG-powered assistants, supporting 8,000 engineers across the organisation.
  • Build reusable patterns for ML services and retrieval, incorporating Databricks, vector databases, and modern evaluation and monitoring tools.
  • Mentor squads on robust ML and LLM workflows, including clustering, feature engineering, CI/CD, telemetry, and Responsible AI guardrails.

Top 3 responsibilities

  • Design and maintain ML models and LLM/RAG applications, from discovery and prototyping to production-grade delivery, ensuring high-quality features and context optimisation.
  • Drive adoption of MLOps/DevOps practices for scalability, resilience, and observability, including Git, CI/CD, monitoring, and alerting across ML/LLM workloads.
  • Ensure security, compliance, and Responsible AI in all solutions, actively managing model drift, retrieval quality, and prompt robustness.

As Data Scientist, you will be pivotal in delivering secure, scalable, and responsible AI solutions used across Rabobank.

Together we achieve more than alone

We are curious about what you add to our team of Analytics Acceleration. The 25 people of Analytics Acceleration design, build, and operationalise AI solutions that make Rabobank smarter and more customer focused. Collaboration is our approach; as one data minded team within Rabobank, we drive innovation and sustainable performance.

Work on yourself and the world around you at the same time

At Rabobank, your development and that of society go hand in hand. That is why we invest in you and work together for a better world. You will see this reflected in your personal development budget, hybrid working environment, and a healthy work-life balance. You will work on banking for our customers and societal issues such as food and energy transitions.

You & your talent

  • You have worked with data and analytics governance platforms from vendors like Collibra, Informatica, OneTrust, Databricks, and/or Microsoft.
  • You have experience in data governance, data protection and/or AI governance.
  • You have experience with Graph data platforms and the concept of knowledge graphs.
  • You know how to define requirements and proof points for the execution of a proof of concept and are also able to document the results.
  • You've worked with Azure, provisioning resources using ARM templates, Bicep, PowerShell or the Azure CLI.
  • You have experience working with pipelines-as-code and infra-as-code as well as with Azure DevOps.
  • You’re reasonably skilled using Python programming language.

To be considered for this position, you must be located in the Netherlands and have the legal right to work in the Netherlands. We are unable to consider candidates requiring relocation from another country.

Rabobank is a cooperative bank with a mission. Our goal is to help our customers achieve their goals. As an international financial institution, we contribute to the well-being and welfare of millions of people. In the Netherlands we serve retail and corporate clients. Internationally we focus on the food and agri sector. We have been facing societal challenges head on for more than 125 years and are dedicated to creating a future-proof society.

Finance & Banking
Utrecht
Active in 35 countries
43,000 employees
50% men - 50% women
Average age is 31 years