SW Data Specialist | Data Foundation

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 ahea, and we’re committed to leading the way. That’s why we’re 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. We’re 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. You’ll 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.

What makes this role special 

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

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.

Rabobank combines large-scale financial services with cutting-edge cloud, data and AI technology, creating one of the most advanced tech environments in the Dutch banking sector.

What we offer you

• A challenging key position within an ambitious and innovative company, where you shape (Gen)AI Innovation
• A dynamic, multicultural team of engineers, data scientists, and researchers working at the cutting edge of real-world AI.
• A permanent contract that combines stability with the freedom to make your own mark.
• Entrepreneurial freedom within the YER framework: room for initiative and craftmanship
• Work in a close-knit, multidisciplinary, and entrepreneurial team where your vision truly matters.
• International career growth: develop alongside the most pioneering projects in AI, cloud, and software.
• An excellent compensation package, including a pension plan and additional perks.
• International support such as Dutch language lessons, assistance with taxes, and housing guidance, helping you feel at home quickly.

You and your talent

Technical skills and experience:

• 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 both discriminative and generative models and know when to apply each.
• You have experience with responsible GenAI topics such as bias detection, monitoring and performance evaluations
• Familiarity with Responsible AI principles, including fairness, transparency, explainability, and bias mitigation in generative AI systems.
• You have experience identifying underlying issues and opportunities across the ML development cycle for efficient development and testing.
• You have the ability to write clean and reusable code
• You are skilled in Git and CI/CD pipeline development.
• You have experience with ETL processes, data pipelines, and data lakes
• You have experience with cloud platforms (Azure).
• You have proficiency in working with APIs and are familiar with API gateways like Kong
• You have experience with containerization technologies (Docker, Kubernetes)
• You have experience with databases (SQL, NoSQL, PostgreSQL, and vector databases)
• You have experience deploying, tuning, and monitoring models with MLOps/DevOps, ensuring services support high throughput workloads.

Soft Skills and Leadership Qualities:

• You have a passion for building and bringing to production clean, well-structured, maintainable and testable solutions.
• Excellent communication skills – able to simplify complex ideas and build trust across teams.
• You have experience of making sure components can be re-used and standardized to support scale
• 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 driving tech projects, coaching others, sharing knowledge and implementing best practices
• You are curious by heart and experienced in collaboration with customers.