Functie
Senior Insights Data Scientist
As a Senior Insights Data Scientist you turn complex Transaction Monitoring data into actionable insights and production-ready solutions. You combine advanced analytics, software development and business knowledge to build automated solutions that help colleagues assess and optimise Transaction Monitoring rules and make better 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.
Top 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.
Analytical products: Design and develop production-ready dashboards and analytical products for automated tuning and investigation workflows.
Collaborate closely with stakeholders across Business, Technology and Operations to develop analytical capabilities that improve Transaction Monitoring efficiency and effectiveness.
You and your talent
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.
Facts
Working time: 36 hours per week.
Data scope: Transaction data from more than 9.5 million customers is analysed.
Eisen
- Master’s degree in a technical field
- More than 7 years of experience in data analysis using Python
- Experience with Py
- Spark, Databricks and Power BIExperience building end-to-end solutions using repositories, version control, pipelines and testing frameworks
Extra informatie
Competenties
The ability to uncover the real question behind a request and present your recommendations convincingly
Experience guiding junior and mid-level colleagues and sharing your technical vision
Je sollicitatie dient uiterlijk 28 september 2026 om 11:00 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.
