NIET GESCHIKT VOOR ZZP

Sd: 01-07-2026
Ed: 31-12-2026
Uren: 36 uur
Hybride: Donderdag kantoordag in Utrecht (Croeselaan)

** kandidaten met ervaring of expertise in het ontwikkelen van een testframework voor LLM's. Deze ervaring moet bijdragen aan het bepalen van het meest geschikte model per use case, op basis van meerdere dimensies zoals latency, kosten en performance.

Medior Data Scientist
Our Analytics Acceleration Area is growing fast to meet the demand for next-generation AI solutions. As a bank, our customers expect us to stay ahead—and we’re committed to leading the way. That’s why we’re looking for data scientists who combine technical excellence with adaptability, collaboration and a strong sense of ownership. These qualities are key to making our cultural shift real and impactful. We’re recruiting the next wave of GenAI changemakers. 

You and your job
As a Medior Data Scientist, you'll work on the design, development, and deployment of advanced Generative AI solutions that deliver exceptional value to our customers. You’ll be at the forefront of creating AI-powered systems that help solve complex challenges, streamline processes, and unlock new opportunities. We need someone who can dive deep into data, work with generative models and create scalable, responsible solutions. You will work in a squad that drives the adoption of GenAI across diverse domains in the bank and co-creates these solutions together with the stakeholders.

What makes this role special 
Work in a culture that values initiative, adaptability, collaboration and impact. 
Freedom for thought leadership, learning and growth—with full leadership support. 
A healthy work-life balance because sustainable performance matters. 
We value curiosity, resilience and the ability to learn fast. 

Practical examples
- Work directly with (internal) customers to learn how processes and systems work.
- Be accountable for building responsible and cost effective GenAI solutions for millions of customers.
- Co-creating solutions using GenAI re-usable building blocks developed within the area,
- Collaborate with team members and end-users to solve critical or complex problems.
- Convert a use-case specific solution to re-usable solutions used across diverse domains within the bank

Facts & figures
* 36 hours a week.
* Mostly greenfield, little legacy.
* 43,822 Rabobank colleagues around the world.

Top responsibilities
* Co-creation and then build, test, deploy and run high quality and highly scalable GenAI solutions.
* Contribute to the continuous automation of GenAI solutions across diverse domains in the bank
* Join-forces with your peers, experts and stakeholders to provide business value to Rabobank customers.

Together we achieve more than alone. We believe that bringing together people's differences is what makes us an even better bank. Talking of Rabobank: We are a Dutch bank that operates in 38 countries for over 9,5000,000 customers. Together with these customers, our members and partners we stand side by side to create a world in which everyone has access to enough healthy food. In the Netherlands we work to create a country in which people are happy with how they live, work and do business. Within Rabobank, Analytics Acceleration is an ambitious department that aims to mix in a healthy dose of experience, innovation and creativity to develop innovative products and services. We focus on fast learning, delivering value quickly and being more effective. As a team, you work on clear goals and continuously see the results of your (team) efforts.

You and your talent
Technical skills and experience:
* You have at least 3 or more years of experience working as a Data Scientist or in a similar field
* You have strong programming skills (software engineering experience is a plus) and are proficient in Python,
* you have the ability to write clean and reusable code
* You have strong product thinking and are skilled at translating business problems into data science solutions, with a pragmatic approach that avoids overengineering and focuses on impact.
* You have a solid understanding of NLP and LLMs. Experience in building Generative AI applications is a strongly encouraged.
* You have strong experience developing, evaluating, deploying, and monitoring models, and have worked with LLMOps/MLOps/DevOps practices in (cloud) production environments.
* This role operates at the intersection of Data Science, Generative AI, and Engineering. As such, strong engineering skills are highly valuable, including experience with Git, CI/CD, ETL processes, cloud platforms such as Azure (or similar), API development and integration, containerization, and relational and (vector) databases.

Soft Skills and Leadership Qualities:
* You are curious by heart and experienced in collaboration with customers
* You are excited to understand the business needs and translate them to a technical solution you would be building
* Excellent communication skills – able to simplify complex ideas and build trust across teams. 
* You have a passion for building and bringing to production clean, well-structured, maintainable and testable solutions.
* You enjoy collaboration in cross functional squad (incl. Engineering, Product, Business colleague) as well as across squads and build connections with others
* You have experience leading tech projects, coaching others, sharing knowledge and implementing best practices