...
Tekst logo luidt "DE Publieke Partner" in vette letters, geflankeerd door horizontale lijnen boven en onder.

Data Scientist

De afbeelding toont het woord "Rabobank" in blauwe, vetgedrukte en cursieve letters op een witte achtergrond.

Aanvraagnummer: 48815
Contractvorm: Detachering
Organisatie: Rabobank
Locatie: Utrecht
Uren per week: 36 per week
Tarief: 75 - 90 per uur
Duur van de opdracht: 12 maanden
Regio: Utrecht
Startdatum: 06-07-2026
Optie tot verlenging: Mogelijk, maar nog niet bekend
Sluitingsdatum: 21-08-2026 15:00

LET OP! Deze opdracht is gesloten


Niet ZZP geschikt!
Startdatum: z.s.m.
Einddatum: 12 maanden met mogelijkheid tot verlenging bij geschiktheid
Aantal uren: 36 uur p.w.
Hybride: vaste kantoordagen: maandag en donderdag
Voertaal: Engels, NL is niet verplicht

As a Medior Data Scientist Transaction Monitoring you can have social impact by detecting criminal behavior using analytics models to analyze Rabobank transactions of 8+ million customers.

You and your job
Preventing Money Laundering & Terrorist Financing is one of the key aspects for our society and our organization, and as a bank we play a major role in this field. In order to be effective in fighting financial crime, we need smart individuals like yourself who get their energy from looking into data, patterns and behavior of our customers in order to uncover illegal activities. Together with the team you will be responsible for optimizing our current rule-based Transaction Monitoring (TM) system and eventually, not on the short term, for introducing more advanced analytics methodologies such as Machine Learning into our TM models.

This job requires statistical know-how, an analytical mindset and pragmatic operational expertise. And if done successfully, you will make sure that our analysts are able to focus on the true positive alerts, hence spend their time on truly value-adding activities. In other words, in this role you will be on the front line of fighting financial crime.

Practical examples
Developing and improving detection rules within multidisciplinary teams to uncover patterns linked to illegal activities.
Identifying new relevant data sources and evaluating how to integrate them into our models.
Working with business experts, model owners, and IT to implement and continuously refine models.

Top 3 responsibilities

  • Develop and enhance parts of our detection rules, including data analysis, model setup, and writing reliable, well-structured code.
  • Identify challenges related to model choices and actively contribute to suitable solutions.
  • Collaborate with colleagues, including juniors, mediors, IT specialists, and analysts, to ensure consistent best practices across the team.

Hard requirements

  • A Master’s degree in Data Science, Econometrics, Mathematics, or a related field.
  • 3-5 years of experience in data science or data analysis, preferably with large datasets.
  • Strong programming skills in Python and PySpark; Azure Databricks experience is a plus.
  • Experience in implementing and maintaining analytical models into production is preferred.
  • Strong communication skills, with the ability to present complex topics in a clear and accessible way to business stakeholders to enable swift decision-making.
  • Excellent verbal and written English skills.

Strong preferences
You are intrinsically motivated to fight financial crime by building models that create real impact. You work in a structured and precise manner and communicate clearly. You collaborate effectively with colleagues across different roles and take initiative to improve outcomes. You thrive in a dynamic, high-impact environment. Experience with Agile working is a plus.