Data Scientist

Functieomschrijving

Position

Data Scientist – Insights (Transaction Monitoring) for Rabobank Utrecht.

Your role

You will deliver data-driven insights and build automated pipelines and workflows based on transaction data from over 8 million customers to help identify and prevent financial crime. You will generate insights into the current Transaction Monitoring (TM) system and support its continuous optimisation, enabling operational analysts to focus on true positive alerts.

Team

You will join a team of 8 professionals, including a Product Owner, Scrum Master, and a mix of Data Scientists and Data Analysts.

Top responsibilities

• Develop and improve data pipelines for tuning, lookbacks, and impact analyses, combining complex TM model components efficiently.
• Perform end-to-end analyses from intake and coding to visualisation and presenting insights to stakeholders.
• Design and build production-ready dashboards (front-end and back-end) to support rule tuning, rule development, and daily TM detection insights.

Practical examples of your work

• Estimate the impact of proposed parameter changes in the TM model on overall effectiveness and efficiency.
• Optimise workflows to enable tuning across a broader range of parameter combinations.
• Build dashboards in collaboration with platform squads and bring them into production, e.g. TM rule performance dashboard, system-wide TM overview, transaction dashboard for rule development.

Your profile

• Education: Master’s degree in a technical field.
• Experience: 2+ years performing data analysis in Python.
• Technical skills: Experience with PySpark, Databricks, Power BI, and building end-to-end solutions using repositories, version control, pipelines, and testing frameworks.
• Analytical & communication: Able to identify the real question behind a request and present results convincingly and structured.
• Precise, proactive, communicative, business-oriented, with a strong can-do mentality.
• Thrive in a high-impact, fast-paced, complex environment and motivated to improve transaction monitoring effectiveness to fight financial crime.
• Excellent written and verbal communication skills in English.

Practical information

• Employment: 1 FTE (36 hours per week).
• Language: English mandatory; application materials (personal motivation and CV) should be provided in English.
• Work model: Hybrid, with office attendance on Mondays and Thursdays.

Eisen

• Language: English mandatory
• FTE (36 hours per week)
• Work model: Hybrid (office attendance on Mondays and Thursdays)
• Start date: 1 June 2026
• End date: 31 December 2026
• Hold a Master’s degree in a technical field
• Have 2+ years of experience performing data analysis in Python
• Have experience with PySpark, Databricks, Power BI, and building end-to-end
  solutions using repositories, version control, pipelines, and testing
  frameworks
• Have excellent written and verbal communication skills in English
• Suppliers can offer just one candidate for this position
• Candidate should be submitted exclusively to Magnit – Rabobank during the
  exclusivity period of 4 business days on one request
• The candidate has to be available throughout the entire duration of the
  assignment
• All submitted candidates must be in possession of a valid Passport or ID
  card, which must be taken along to the interview and at the start of the
  assignment
• Pre-employment screening will be executed and must be completed
  successfully before the candidate is allowed to start
• Midlance constructions are not allowed according to Rabobank policy

Gunningscriteria

• Hold a Master’s degree in a technical field
• Have 2+ years of experience performing data analysis in Python
• Have experience with PySpark, Databricks, Power BI, and building end-to-end
  solutions using repositories, version control, pipelines, and testing
  frameworks
• Have excellent written and verbal communication skills in English

Je sollicitatie dient uiterlijk 30 april 2026 om 08:00 uur door ons te zijn ingediend, voorzien van een motivatie (waarin wordt toegelicht hoe aan de eisen en gunningscriteria wordt voldaan) en twee referenties. Wij ontvangen je gegevens graag minimaal één werkdag vóór de sluitingsdatum.