Data Scientist

MACEE; Utrecht; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

MACEE in Utrecht is seeking a Senior Insights Data Scientist to turn Transaction Monitoring data into actionable insights and production-ready solutions. You will build automated rule-tuning pipelines, deliver end-to-end analytics projects, and design dashboards for automated investigation workflows, collaborating across Business, Technology and Operations.

A master’s degree and 7+ years in Python data analysis, with PySpark, Databricks and Power BI, are required.

Qualifications

• Master’s degree in a technical field.
• 7+ years of experience in data analysis with Python.
• Experience with PySpark, Databricks and Power BI.
• Experience building end-to-end solutions using repositories, version control, pipelines and testing frameworks.
• Ability to uncover the real question behind a request and present recommendations convincingly.
• Experience guiding junior and mid-level colleagues and sharing your technical vision.

Responsabilités

• Build and improve analytical pipelines that automate rule tuning and support scalable multi-parameter analysis.
• Deliver end-to-end analytical projects from translating business questions to presenting clear recommendations to stakeholders.
• Design and develop production-ready dashboards and analytical products for automated tuning and investigation workflows, collaborating with stakeholders across Business, Technology and Operations.

Connaissances

Python

PySpark

Databricks

Power BI

Version control

Pipelines

Testing frameworks

Leadership

Formation

Master’s degree

Outils

Python

PySpark

Databricks

Power BI

Description du poste

MUST HAVE: Experience within banking domain

As Senior Insights Data Scientist, you know the secrets of turning complex Transaction Monitoring data into actionable insights and production-ready solutions. Within Squad Metis, you combine advanced analytics, software development and business knowledge. You 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 3 responsibilities

• Build and improve analytical pipelines that automate rule tuning and support scalable multi-parameter analysis.
• Deliver end-to-end analytical projects, from translating business questions to presenting clear recommendations to stakeholders.
• Design and develop production-ready dashboards and analytical products for automated tuning and investigation workflows. You work closely with stakeholders across Business, Technology and Operations. Together, you develop analytical capabilities that improve the efficiency, effectiveness and scalability of Transaction Monitoring.

Requirements

You and your talent

• A master’s degree in a technical field.
• More than 7 years of experience in data analysis using Python.
• Experience with PySpark, Databricks and Power BI.
• Experience building end-to-end solutions using repositories, version control, pipelines and testing frameworks.
• 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.