Data Scientist
Data Scientist bij Rabobank Utrecht, detachering 36 uur/week, 10 maanden, hybride in Utrecht.
- Locatie
- Utrecht
- Werkvorm
- hybride
- Uren
- 36–40 uur per week
- Sluitingsdatum
Eisen
- At least 4 years of relevant work experience as a Data Scientist or Data Engineer
- Available throughout the entire duration of the assignment
- Professional proficiency in English (Dutch not required)
- Master’s degree in computer science, artificial intelligence, mathematics, information studies or a comparable STEM subject
- Experience with PySpark and data transformations in Python
- Strong communication skills, a proactive working style and ability to collaborate professionally
- Ability to solve problems and critically reflect on your own work
- Valid Passport or ID card
- Pre-employment screening
Wensen
- Knowledge of medallion architecture
- Experience with Databricks and Microsoft Azure
- Experience in an IT environment
Volledige omschrijving
Data Scientist bij Rabobank Utrecht in Utrecht. Het betreft een detachering-functie voor 36 uur per week met een looptijd van 10 maanden. Reageren kan tot donderdag 8 oktober 2026, 09:00. Make large international data flows scalable and help detect money laundering and terrorist financing.
Your role: Develop and maintain the transaction monitoring data model for international data sources. Write, optimise and deliver production-ready code to process large data flows at scale. Build and contribute to a monorepository and onboard new regions to the data model. Coordinate with data producers across the organisation about data sources and data quality. Collaborate with developers who implement transaction monitoring logic to ensure reliable data.
Typical day: Start with team stand-up, work on development and optimisation tasks, participate in sprint planning and occasional brainstorming sessions. During your first year you will become familiar with the team’s way of working and the data model, aiming to jointly take ownership of the data model’s technical soundness.
Requirements: Must-haves: At least 4 years of relevant work experience as a Data Scientist or Data Engineer. Experience with PySpark and data transformations in Python. Professional proficiency in English (Dutch not required). Strong communication skills, a proactive working style and ability to collaborate professionally. Master’s degree in computer science, artificial intelligence, mathematics, information studies or a comparable STEM subject. Ability to solve problems and critically reflect on your own work.
Nice-to-haves: Experience in an IT environment. Experience with Databricks and Microsoft Azure. Knowledge of medallion architecture.
Tools & technologies: PySpark / Python, Databricks, Airflow, Microsoft Azure (advantage).
Working conditions: FTE: 1.0, Working hours: 36 or 40 hours per week, Hybrid: Work from the office on Mondays and Thursdays; work from home on other days, Freelance (ZZP): Not allowed, Language: English mandatory.
Application: Please submit your CV and a personal motivation in English.
Eisen: Language: English mandatory, Good command of the English language is required, Dutch is not required, You work 36 or 40 hours per week, You work with the team at the office in Utrecht on Mondays and Thursdays, At least 4 years of relevant work experience, Experience as a Data Scientist or Data Engineer, Experience with PySpark, Professional proficiency in English, Master’s degree in computer science, artificial intelligence, mathematics, information studies or a comparable STEM subject, 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, If the candidate is selected to start, a pre-employment screening will be executed, The candidate is only allowed to start after the pre-employment screening has been completed successfully, 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.
Wensen: Professional proficiency in English is required, At least 4 years of relevant work experience is required, Experience as a Data Scientist or Data Engineer is required, Experience with PySpark is required, Master’s degree in computer science, artificial intelligence, mathematics, information studies or a comparable STEM subject is required, Experience in an IT environment is a nice-to-have, Experience with Databricks is a nice-to-have, Experience with Microsoft Azure is a nice-to-have, Knowledge of medallion architecture is a nice-to-have.
Je CV en reacties
Voeg een CV toe om de eisen naast jouw ervaring te bekijken.
Je reageert zelf bij de bron. Leg hieronder vast wanneer je je reactie hebt verstuurd.
Bewaar de broker en datum in Mijn reacties.