Medior Data Scientist

Rabobank

Croeselaan 18, 3521 CB Utrecht, Nederland

Sluit over 5 dagen
Opdracht tarief 90Opdracht uren 36

Begindatum:

6 apr 2026

Einddatum:

31 dec 2026

Uren per week:

36

Publicatiedatum:

12 feb 2026

Omschrijving

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 aheadand were committed to leading the way. Thats why were looking for a Medior 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. Were recruiting the next wave of GenAI changemakers.

You and your job

The Responsible GenAI squad drives the development and implementation of Generative AI solutions that enable the bank to apply AI effectively in practice. These solutions enhance the customer journey, streamline data processing, answer internal staff queries, and generate insights and reports to facilitate workflows. To accelerate innovation, the team also develops APIs that help other teams build GenAI solutions faster and more efficiently.

As Medior Data Scientist, you will contribute to building, monitoring, and optimizing the performance of GenAI solutions across diverse use cases within the bank. Youll be at the forefront of creating tools that tackle complex challenges, improve efficiency, and unlock new opportunities. Your work will involve exploring topics such as responsible GenAI, performance monitoring, red teaming, and evaluating GenAI models for fairness and bias.

Werkzaamheden en verantwoordelijkheden:

  • 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.

  • Enabling the performance and monitoring of the reusable GenAI building blocks can be used by 100+ tech teams.

  • Design and build responsible and cost effective GenAI solutions for up to 9,5 million Rabobank customers.

  • Collaborate with team members to solve critical or complex problems.

Top responsibilities

  • Design and build responsible GenAI via performance monitoring, red teaming, and evaluating GenAI models for fairness and bias.

  • Contribute to building, monitoring, and optimizing the performance of GenAI solutions

  • Join-forces with your peers, experts and stakeholders to provide business value to Rabobank customers.

Eisen

  • You have at least 4 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 a solid understanding of NLP and LLMs. Experience in building Generative AI applications is a strongly encouraged.

  • You understand how to work with discrimination.

Wensen en competenties

Wensen

  • Work in a culture that values initiative, adaptability, collaboration and impact.

  • Freedom for though leadership, learning and growthwith full leadership support.

  • A healthy work-life balance because sustainable performance matters.

Competenties

  • We value curiosity, resilience and the ability to learn fast.

Organisatie en team

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.

Gespreksinformatie

Niet bekend

Overige informatie

Benodigd aantal professionals: 1
Hybride werken: Ja

Optie tot verlenging: Niets over bekend.

Hybride: Donderdag kantoordag in Utrecht (Croeselaan)

Fee: De administratieve partner rekent een aanvullende fee van € 2,50 boven op het uurtarief.

Overig algemeen: Niet bekend

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