Junior Data Scientist | Data & Analytics Early Career Program | Utrecht

Must-haves:

• You have completed, or will soon complete, a master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics or a comparable technical field of study.
• Your studies, thesis, internship, project or personal work demonstrate knowledge of traditional machine learning/statistics and the implementation of AI models.
• You have 0-2 years of work experience after graduating.
• You have experience with Python.
• You are interested in both traditional machine learning and generative artificial intelligence, including Agentic AI.
• You want to understand the technical infrastructure behind artificial intelligence solutions, rather than working only with models.
• You can communicate technical ideas clearly and work effectively with colleagues.
• You have an excellent command of English.
• You currently live in the Netherlands.

Nice-to-haves:

• You have worked with Databricks.
• You have experience building a technical project outside your formal study programme.
• You are familiar with cloud technology, Git or continuous integration and delivery.

Gross monthly salary between € 3.516 and € 5.021 (scale 07).

• Thirteenth month's salary and 8% holiday allowance

• 10% Employee Benefit Budget

• EUR 1,400 development budget per year

• Hybrid working: balance between home and office work (possible for most roles)

• A pension, for which you can set the maximum amount of your personal contribution

View all our benefits.

Would you like to learn and contribute to an existing AI Product that combines data from every angle of the bank, using predictive machine learning models and is currently adopting generative and agentic AI techniques?

Junior Data Scientist | Data & Analytics Early Career Program | Utrecht

As a Junior Data Scientist at Rabobank, you will learn to build and maintain artificial intelligence solutions in practice. Within Area Analytics Accelerations you will join the CLUE (Client Lifecycle Understanding Engine) team and contribute to building and improving models and analytical solutions to improve our client interactions, such as client clustering models and propensity models for product recommendations. You will primarily be using traditional machine learning techniques complemented with generative and agentic AI. The team is responsible for the end-to-end product, from design to production environment.

You have an interest in data science, MLOps and integration engineering, where integration engineering is the discipline of connecting applications, platforms and data sources.

You will work with Python, Databricks, traditional machine learning, generative and agentic AI to create scalable and reliable solutions for complex banking challenges.

The role is part of the Advanced Analytics Early Career Program.

• How to develop, maintain and improve analytics solutions (e.g. data engineering, ML Engineering, Model Estimation/Evaluation, Prompt Engineering).
• Combine statistical knowledge, data insights with technical infrastructure needed to build reliable and innovative AI solutions.
• Learn how to translate a business request into a data science solution.
• Work with experienced colleagues to turn analytical ideas into practical applications.
• Contribute to knowledge sharing and technical development within the Advanced Analytics community.

We believe in the power of differences. By combining people's differences, we become an even better bank. We are curious about what you will bring to our Area Analytics Accelerations.

You will join a collaborative team that includes several current and former Early Career Program participants. You will work with colleagues who enjoy exploring technical subjects, sharing knowledge and helping each other develop. You do not need to be the loudest person in the room, but you should be willing to explain your ideas and work constructively with others.

In the Rabobank Early Career Program, you will work on your personal development and the technical content of your role for 18 months.

You will begin in a junior role within one team and learn mainly through practical experience. You will take part in workshops and training modules with other young professionals. Experienced colleagues will support your technical development, and a buddy will help you find your way within Rabobank.

You will also receive guidance on your personal development and build a network within the Advanced Analytics community. There is room to contribute ideas for events, training and knowledge-sharing sessions.

At Rabobank, we are working towards a culture where everyone feels welcome. We value our differences and use them to collaborate more effectively and make better decisions. By being open to different perspectives, we create an environment where colleagues feel heard.

Yes. This is a graduate role, and extensive professional experience is not required. Relevant evidence can come from your studies, thesis, internships, part-time work, volunteering or personal technical projects.

You will develop your knowledge of Python, Databricks, statistical modelling, machine learning, generative artificial intelligence and the technical infrastructure behind artificial intelligence solutions.

Yes, the split between working in the office and working from home