Zensys
Data Scientist
ZensysNetherlands18 hours ago
Full-timeRemote FriendlyEngineering, Information Technology
🚨 Senior Data Scientist – Transaction Monitoring



📍 Location: Randstad (Hybrid) | đź’Ľ Finance Industry | đź•’ Interviews ongoing – apply ASAP!



Are you ready to use data science for good?

Join a leading player in the banking industry and make a real social impact by detecting and preventing money laundering and terrorist financing across millions of transactions every day.

We’re seeking a Senior Data Scientist with strong analytical and technical expertise who’s passionate about tackling complex financial crime challenges — and turning data into action.


🌍 Your Mission

Be on the front line of fighting financial crime.

You’ll design, test, and optimize analytics models that identify suspicious patterns and help ensure investigators focus on the alerts that truly matter.



đź§  What You’ll Do
  • Develop and enhance rule-based Transaction Monitoring (TM) models to uncover illegal activities.
  • Identify and integrate new data sources into analytical models.
  • Collaborate with IT, Architecture, and Business teams to bring models from prototype to production.
  • Mentor medior and junior data scientists on best practices.
  • Contribute to the long-term transition toward Machine Learning–driven monitoring.


🎯 What You Bring
  • MSc or PhD in Data Science, Econometrics, Mathematics, or a related field.
  • 5+ years’ experience in advanced analytics / modeling / AI with large datasets.
  • Strong skills in Python, PySpark, Spark (Azure Databricks = big plus).
  • Proven track record deploying models into production.
  • Excellent communication skills in English and ability to work cross-functionally.


🚀 Why This Role
  • Work on high-impact data science projects that protect society.
  • Join a collaborative, mission-driven analytics team.
  • Hybrid setup, competitive package, and strong professional growth path.


đź•’ This role is in high demand – applications are reviewed on a rolling basis!


If you’re passionate about leveraging data science to combat financial crime, apply today or share your CV to [email protected]


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