Data Scientist - Transaction Monitoring

Phoenix Technologies

Phoenix Technologies logo
Utrecht, Utrecht-2597

Experience

4–15 Yrs

Salary

Not disclosed

Job type

Full Time

Work mode

On-site

Skills

  • Python
  • PySpark
  • Data Engineer
  • Data Scientist

Job description

We are seeking a Data Scientist specialized in transaction monitoring to join our team. You will develop and improve the transaction monitoring data model and work with large‑scale data pipelines.

Key responsibilities

  • Develop and maintain the transaction monitoring data model for global data sources.

  • Write and optimise production‑ready PySpark code to process large data flows at scale.

  • Help build and maintain a monorepository and onboard new regions to the data model.

  • Coordinate with data producers across Rabobank to ensure data quality and availability.

  • Collaborate with developers creating transaction monitoring logic, providing reliable data.

Required qualifications

  • At least 4 years of relevant work experience.

  • Experience as a Data Scientist or Data Engineer.

  • Strong proficiency with Python and PySpark.

  • Professional proficiency in English and strong communication skills.

  • Master’s degree in Computer Science, Artificial Intelligence, Mathematics, Information Studies or a comparable STEM field.

Nice to have

  • Experience in an IT environment.

  • Experience with Databricks.

  • Experience with Microsoft Azure.

  • Knowledge of medallion architecture.

Interested? Apply now at [email protected]

About the company

Phoenix Technologies

phoenix-tech.eu

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