Junior Data Scientist | Advanced Analytics Early Career Program | Utrecht

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 adapting generative and agentic AI techniques?

Summary

As a Junior Data Scientist at Rabobank, you will learn to build and maintain artificial intelligence solutions in practice. Within the 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 interaction, like client clustering models and propensity models for product suggestion. 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 actual production environment.

You have a combined 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.

What will you learn and do as a Junior data scientist?

• 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.

Together we achieve more than alone

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.

Your development in the Early Career Program

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.

Why everyone is welcome at Rabobank

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.

What do you bring?

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 studies.
• 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 working 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.

You and the application process

Apply by a date that is not yet established.

• Questions about the recruitment procedure? Contact Clemens Schinkel, Young Talent Recruiter at Clemens.Schinkel@Rabobank.nl.
• The selection process is expected to include 2 interview rounds both online and in our office in Utrecht.
• If you are invited for an interview, Bo, our virtual assistant, will contact you by SMS and email to schedule the interview.
• A reliability assessment is part of the procedure.
• An assessment can be part of the application process.
• Please include a motivation letter with your application. Explain why you want to work at Rabobank, what you want to learn through the Early Career Program and how you would use an AI Agent to support a Rabobank client advisor in their client interaction.
• You can find answers to frequently asked questions here: https://rabobank.jobs/en/faq/.
• We respect your privacy: https://www.rabobank.com/privacy/downloads.

Frequently asked questions

Is this role suitable if I have little work experience?

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.

Which skills or tools will I develop?

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

Can I work hybrid?

Yes, the split be between office and working from home is about 50/50. 

How big is the team I will be part of?

The team consists out of around 15 people, which is a combination of Data Scientists, (DevOps) Engineers, Business Analyst, Product Owner and Scrum Master.

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