Data Scientist (Dutch Speaking)

Fitura
Utrecht, Netherlands
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Languages
Dutch, English
Job source

Tech stack

Data Analysis Continuous Integration Decision Support Systems Python (Programming Language) Performance Tuning Power BI Software Construction Software Engineering Transaction Data Delivery Pipeline Pyspark Software Version Control
+1 more
Databricks

Job description

As a Senior Insights Data Scientist (Financial Economic Crime Technology Tribe), you transform complex transaction data from over 9.5 million customers into automated insights and production-ready solutions. Operating in a hybrid setup (36 hours per week), you combine advanced analytics, software development, and business knowledge to help colleagues assess and optimize Transaction Monitoring rules, combat financial crime, and improve compliance efficiency., * Analytical Pipelines & Rule Tuning: Build and improve analytical pipelines that automate rule tuning, support scalable multi-parameter analysis, and translate Above-the-Line / Below-the-Line tuning processes into data-driven recommendations.

  • End-to-End Project Delivery: Deliver end-to-end analytical projects, from translating business requirements into technical models to presenting clear recommendations to stakeholders.
  • Dashboards & Decision Support: Design and develop production-ready dashboards and analytical products (using Python, Databricks, and Power BI) to make complex insights accessible for automated tuning and investigation workflows.
  • Technical Leadership: Guide junior and mid-level data scientists, sharing technical vision and fostering best practices across the multidisciplinary team.

Your Deliverables:

  • Production-ready analytical models, decision logic, and automated pipelines for transaction monitoring optimization.
  • Interactive dashboards and decision-support tools for stakeholder reporting.
  • Version-controlled codebases, testing frameworks, and documentation following software engineering best practices.

Requirements

  • Education: Master’s degree in a technical field.
  • Experience (Hard Requirements):
  • More than 7 years of professional experience in data analysis using Python.
  • Hands-on experience with PySpark, Databricks, and Power BI.
  • Proven experience building end-to-end solutions utilizing repositories, version control, CI/CD pipelines, and testing frameworks.
  • Personal Style: Inquisitive problem-solver, excellent communicator capable of uncovering underlying business needs, and a collaborative mentor to junior team members.
  • Language: English and Dutch mandatory

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