Data Scientist

Ready to turn your programming skills into models that help protect millions of financial transactions?

You & your role

As Junior Data Scientist, you transform complex data into reliable insights and solutions. You will work on a key part of Rabobank’s transaction monitoring models and help improve the quality and effectiveness of these solutions.

You will spend much of your time programming, testing and improving components of these models. At the same time, you will work closely with business stakeholders to understand requirements, explain outcomes and help deliver valuable features. Because the teams operate in a highly collaborative environment, communication and teamwork are essential parts of your role.

“We are looking for people who enjoy working together, are enthusiastic about data science and are proactive in taking ownership of their work and development.”

Joppe Boekestijn, Hiring Manager

In short

• Improve and test parts of our Transaction Monitoring models using Python (PySpark) and existing code bases.
• Present model outcomes and technical solutions to stakeholders and explain the impact of your work.
• Collaborate with colleagues across squads to develop and implement new features.

You & your future

You will work on your career by developing and improving transaction monitoring models together with experienced colleagues. You will join one of our data science squads, work in a highly collaborative environment and contribute to solutions that support the bank in managing financial risks. You will combine technical development with stakeholder interaction and learn how data science creates impact within a large organisation.

After successfully completing the programme, you will continue to develop yourself as a Data Scientist within Rabobank. You will have built a strong professional network, gained practical experience and developed the skills needed to grow your career further.

You will join a team of around 10 colleagues, including Data Scientists, Product Owners, Scrum Masters and other specialists. Depending on your strengths and interests, you may work in a squad with a stronger programming focus or in a squad with more stakeholder interaction.

Practical

• Length Data Analytics Early Career Program: 18 months.
• After which you will continue to work with us within this role.

Your growth in the Data Analytics Early Career Program

The Data Analytics Early Career Program is all about your development. You will intentionally invest in discovering who you are, what drives you, and how you want to grow as a professional. You will be challenged to step outside your comfort zone and explore where your strengths truly lie, sometimes in places you did not expect yourself. Through these experiences, you will learn where you can make the greatest impact.

And you will not do it alone. Every Friday, we come together at the office with the Data Analytics community. In an open and informal environment, we share knowledge, experiences, insights, and learn with and from each other.

From day one, you will build a strong and valuable network that will benefit you throughout your career. Throughout the entire programme, you can count on intensive support from experienced colleagues. Whether you want to specialise in a specific field or explore what energises you most, your growth always comes first.

You and your talent

• A Masters’ university degree in Computer Science, Artificial Intelligence, Data Science or another technical field.
• Experience with Python programming through studies, internships, projects or work experience.
• Affinity with software development and building technical solutions.
• Strong collaboration skills.
• A proactive mindset and willingness to take initiative.
• Enthusiasm for learning, developing and working with others.