Data Scientist

As Junior Data Scientist, you know the secrets of transforming 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., * 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.

And then? 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.

• 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.

• Salary: Gross monthly salary between EUR 3,516 and EUR 5,021 (scale 07) for a 36-hour work week.
• Extras: a thirteenth month, 8% holiday allowance, and a 10% Employee Benefit Budget.
• Development budget: EUR 1,400 development budget per year for your growth and development.
• Hybrid working: a balance between home and office work (possible for most roles).
• Pension: decide for yourself the amount of your personal contribution.

Or view all our benefits., * After which you will continue to work with us within this role.

• Hours per week: 40
• Salary: €4007,80

At Rabobank, we believe real growth comes from doing. From celebrating successes and learning from the moments that could have gone differently. That is why we offer you the perfect balance between freedom and guidance. 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., Development is our top priority. Because the best way to learn is by doing, through mistakes and successes. At Rabobank we offer you the right balance between freedom and supervision. To develop talents you never thought you possessed. To specialize in a professional field or explore the things you are good at and enjoy doing. During your Data Analytics Early Career Program you can count on us for excellent supervision. You will work with experienced colleagues and have lots of contact with young professionals. Work on your own development & shape the world around you For us, your development and that of society go hand in hand. That is why we want to invest in you and work together towards a better world. We summarize this in one sentence: "At Rabobank, you work on yourself and the world around you at the same time." This is reflected in your personal development budget, our hybrid work environment, and a good balance between your work and home life. You can work on banking matters for our private and business clients, but also on societal issues. Together we work towards our mission: Growing a better world together. We believe everyone should feel welcome, valued and able to be themselves. Diversity, equity and inclusion are important parts of our culture, because different perspectives help us make better decisions and create more impact., We believe in the power of difference. Bringing together people's differences is what makes us an even better bank. What can you bring to Rabobank? We cannot wait to hear from you., * Any questions about working at Rabobank and the process? Contact Jelle Nelemans, Junior Corporate Recruiter, via Jelle.Nelemans@rabobank.nl. * Interviews will be held via MS Teams and at our offices in Utrecht. * Assessments are part of the application process. * We look forward to meeting you in person during the selection days.