Senior Insights Data Scientist
Senior Insights Data Scientist (detachering) bij Rabobank in Utrecht, 36 uur/week, €90-105 per uur, start 16 september.
- Locatie
- Utrecht
- Uren
- 36 uur per week
- Uurtarief
- € 90–105 per uur
- Sluitingsdatum
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Eisen
- More than 7 years of experience in data analysis using Python
- Master's degree in a technical field
- Experience guiding junior and mid-level colleagues and sharing your technical vision
- Ability to uncover the real question behind a request and present recommendations convincingly
- Experience building end-to-end solutions using repositories, version control, pipelines and testing frameworks
- Experience with PySpark, Databricks and Power BI
Volledige omschrijving
Senior Insights Data Scientist bij Rabobank in Utrecht. Het betreft een detachering-functie voor 36 uur per week met een looptijd van 13 maanden. De salarisindicatie is €90,00 tot €105,00 per uur. Reageren kan tot donderdag 15 oktober 2026, 09:00.
Role: Turn transaction data from more than 9.5 million customers into automated insights that help detect financial crime. Combine advanced analytics, software development and business knowledge to build production-ready solutions that assess and optimise Transaction Monitoring rules and support data-driven decisions.
Practical examples: Develop analytical models and decision logic to identify which customer segments, parameters or rules should be prioritised for tuning. Translate Above-the-Line and Below-the-Line tuning processes into data-driven recommendations and analytical solutions. Build production-ready dashboards and decision-support tools that make complex insights accessible to stakeholders.
Key responsibilities: Analytical pipelines: Build and improve pipelines that automate rule tuning and support scalable multi-parameter analysis.
End-to-end delivery: Deliver analytical projects from translating business questions to presenting clear recommendations to stakeholders.
Dashboards & products: Design and develop production-ready dashboards and analytical products for automated tuning and investigation workflows.
Collaboration: Work closely with stakeholders across Business, Technology and Operations to develop analytical capabilities that improve Transaction Monitoring.
Requirements: Education: Master's degree in a technical field.
Experience: More than 7 years of experience in data analysis using Python.
Technical skills: Experience with PySpark, Databricks and Power BI.
Engineering practices: Experience building end-to-end solutions using repositories, version control, pipelines and testing frameworks.
Communication: Ability to uncover the real question behind a request and present recommendations convincingly.
Leadership: Experience guiding junior and mid-level colleagues and sharing your technical vision.
Conditions: 36 hours per week.
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