Data Scientist

As a Junior Data Scientist at Rabobank, you monitor and analyse credit risk model performance, assess data quality, and deliver capital/business impact analyses, translating complex datasets into clear insights for decision-making with stakeholders. Direct solliciteren Neem contact op, Role purpose: Support data-driven decision-making by analyzing datasets, building basic predictive models, and communicating insights to stakeholders., * Collect, clean, and validate structured and unstructured data from internal and external sources.

• Perform exploratory data analysis (EDA) to identify trends, anomalies, and key drivers.
• Develop and evaluate baseline statistical and machine learning models under guidance.
• Create reproducible analysis workflows, notebooks, and documentation.
• Build dashboards and reports that clearly communicate findings and recommendations.
• Collaborate with product, engineering, and business teams to translate questions into analytical tasks.
• Monitor model and data performance; help improve data quality and feature sets., As Customer Excellence Analyst, you know the secrets of turning complex data into understandable insights.

You will become part of a team that combines model monitoring, customer excellence and business impact analysis. You will help monitor the core models used within the credit risk domain (including IRB, IFRS9, EW models), perform analyses, improve data quality and support decision-making across the organisation. At the same time, you will build relationships with internal stakeholders and learn how technical insights translate into business value.

You will work alongside experienced colleagues with both technical and business backgrounds, giving you the opportunity to learn from multiple perspectives and develop your own expertise.

"Being part of Customer Excellence means combining technical analysis, curiosity and collaboration every day while helping Rabobank make better data-driven decisions."

• Gokulram Krishnamurthy, Product owner.

As part of this role, you will join a team that focuses on customer excellence, model monitoring and business impact analysis. Alongside your work, you will participate in the Rabobank Data Analytics Early Career Program and develop both technical and personal skills.

In short

• Monitor and analyse model performance using statistical tests and data-driven insights.
• Provide capital impact and business impact analyses for different business initiatives through model lifecycle.
• Dive into large datasets, assess data quality and translate findings into practical recommendations.

You and your future

You will work on your career by helping teams understand, monitor and improve data-driven models that support important business decisions. You will collaborate with colleagues from different backgrounds, combine technical analysis with stakeholder interaction, and learn how a large international bank operates. After completing the programme, you will have built a strong foundation in analytics, business impact assessment and stakeholder management.

• Proficiency in Python (pandas, NumPy, scikit-learn) or R; strong SQL fundamentals.
• Understanding of statistics (hypothesis testing, regression, classification, evaluation metrics).
• Data visualization skills (e.g., Matplotlib/Seaborn, Tableau, Power BI) and clear storytelling.
• Version control with Git; familiarity with notebooks and reproducible research practices.
• Strong problem-solving, communication, and teamwork; ability to learn quickly.

Nice to have

• Exposure to cloud platforms (AWS, GCP, Azure), data pipelines, or MLOps basics.
• Experience with big data tools (Spark) and APIs., * A Masters' degree and hands on experience with coding, such as Python, SQL or similar programming languages.
• Experience working with data analysis tools or platforms such as Databricks.
• Affinity with analytics, statistical testing and model monitoring.
• Strong communication skills and the ability to explain findings clearly.
• Curious and eager to learn in a fast changing environment.
• Self-starter with an entrepreneurial mindset and ownership mentality.

• 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.

Calculate your salary right away? Use our salary checker.Or view all our benefits., * Length Data Analytics Early Career Program: 18 months

• 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. Learning from each other 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 specialise 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 summarise 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 healthy balance between work and private life. You can contribute to solutions for our clients, while also helping Rabobank address societal challenges and fulfil 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. So get in touch straightaway (and certainly before the closing date on …. * Questions about the role? Contact Barbara Pulneri, Team Lead Customer Excellence, via Barbara.Pulneri@rabobank.nl. * 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 or at our offices in Utrecht. * Assessments are part of the application process. * We look forward to meeting you in person during the selection days.