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Data Scientist

UtrechtHybridHours negotiable<3months

You will be working for one of our biggest financial clients.

You will work on the international data model for transaction monitoring.
The role involves detecting money laundering and terrorist financing while handling large volumes of data.

What you do

Develop and improve the transaction monitoring data model.
Work with PySpark, Databricks, and Airflow.
Connect and process large volumes of data in a scalable way.
Develop and maintain the transaction monitoring data model so that global data sources can be used effectively.
Write and optimize production-ready code to process large data flows at scale.
Help build a monorepository and onboard new regions to the data model.
Coordinate with data producers from different parts of the financial institution about data sources and data quality.
Work with developers who create transaction monitoring logic and need reliable data to do so.

What they ask

At least 4 years of relevant work experience.
Experience as a Data Scientist / Data Engineer.
Data transformations using Python/PySpark.
Experience with Databricks.
Experience with Airflow.
Experience with transaction monitoring and scalable data processing.
Professional proficiency in English.
Strong communication skills.
A proactive way of working.
A master's degree in computer science, artificial intelligence, mathematics, information studies, or a comparable STEM subject.
The ability to solve problems and work professionally with others.
The ability to reflect critically on your own work and development.

Technologies.

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