Data Scientist

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Aanvraagnummer: 42591
Contractvorm: Detachering
Organisatie: Rabobank
Locatie: Utrecht, Croeselaan 18
Uren per week: 36 per week
Tarief: Geen maximum
Duur van de opdracht: 22 maanden
Regio: Utrecht
Startdatum: Z.S.M.
Optie tot verlenging: Nee
Sluitingsdatum: 22-06-2026 16:00

LET OP! Reacties dienen minimaal 1 werkdag voor de sluitingsdatum binnen te zijn voor tijdige verwerking.

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Important:
• We are looking for 1 FTE;
• We will close the vacancy before the indicated deadline when we received enough professionals;
• Suppliers can offer just one candidate for this position. Multiple candidates per supplier are not allowed, all candidates will be rejected;
• Please clearly indicate in the motivation field whether the candidate has any planned vacation or special leave during the duration of this assignment;
• Please provide in the CV whether an internal reference can be requested. If the candidate is currently working at, or has recently working at Rabobank, we would appreciate receiving the name and job title of the relevant team lead;
• Language: English mandatory;
• ZZP Allowed: No.

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 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.
• undefined 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.

Additional information:
• All departments are working hybrid, in terms of Rabobank @anywhere policy;
• Due to the congestion at the parking lot Rabobank location Croeselaan in Utrecht, a new parking policy will be introduced as of April 2026. From Monday through Thursday, external staff will no longer be able to park at the Croeselaan. Parking for external staff will remain permitted on Fridays only;
• ⁠Please note: midlance constructions are not allowed according to Rabobank policy. Do not offer candidates via this construction. This will be investigated during the screening;
• Suppliers must be aware of the laws and regulations regarding employment conditions and Rabobank’s Collective Labour Agreement. This assignment is placed in scale 9;
• We would like to receive the personal motivation of the candidate and CV in English;
• A candidate should be submitted exclusively to – Rabobank during the exclusivity period of 4 business days on one request;
• Furthermore, 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: If the candidate is selected to start, a pre-employment screening will be executed. We will send you the required documents to be filled in and returned as soon as possible. Your candidate is only allowed to start after the pre-employment screening has been completed successfully;
• By submitting a candidate, you are agreeing to the terms of this specific client. If you are not familiar with these terms, you can ask our recruiters for a copy.

IMPORTANT!: Complete all candidate details correctly. Enter the candidate's contact details under 'email address and telephone number'! The same applies to the address. This is information the client needs to receive with the submission. Incomplete/incorrect submissions risk being rejected.

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