Senior Data Scientist: Transaction Monitoring & Pipelines

Phoenix Technologies; Utrecht; On-site; EUR 70,000 - 100,000; Full time

Job summary

Phoenix Technologies is 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.

The role requires strong Python and PySpark skills, 4+ years of experience, and a Master’s degree in a STEM field; English proficiency and good communication are essential. Nice-to-have Databricks and Azure experience.

Qualifications

• 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.

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.

Skills

Python

PySpark

English proficiency

Communication skills

Education

Master's degree in Computer Science or STEM

Tools

Databricks

Microsoft Azure

Job description

Phoenix Technologies is 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.

The role requires strong Python and PySpark skills, 4+ years of experience, and a Master’s degree in a STEM field; English proficiency and good communication are essential. Nice-to-have Databricks and Azure experience.