Mid-Level Data Scientist - Transaction Monitoring & ML

Rabobank Gruppe; Utrecht; Hybride; EUR 56 000 - 80 000; Plein temps

Avantages offerts par ce poste

Thirteenth month

8% holiday allowance

10% Employee Benefit Budget

Hybrid work environment

Development budget 1,400 EUR

Résumé du poste

Rabobank is seeking a Medior Data Scientist for Transaction Monitoring to detect criminal activity through analytics on transactions across millions of customers. You will enhance detection rules, build models, and collaborate with analysts, IT, and business stakeholders in a hybrid work setting.

The role requires a Master’s in a quantitative field, 3–5 years of data science experience, Python and PySpark skills, and a track record of moving models into production.

Qualifications

• Master’s degree in Data Science, Econometrics, Mathematics, or related field.
• 3-5 years of experience in data science or data analysis with large datasets.
• Strong programming skills in Python and PySpark; Azure Databricks experience is a plus.
• Excellent verbal and written English; ability to present complex topics to stakeholders.
• Experience deploying analytical models into production is preferred.

Responsabilités

• Develop and enhance detection rules, including data analysis and model setup.
• Identify new data sources and evaluate integration into models.
• Collaborate with business experts, model owners, and IT to refine models.
• Ensure analysts focus on true positive alerts by providing robust, reliable code.

Connaissances

Python

PySpark

Data analysis

Analytical mindset

Communication

Formation

Master’s degree in Data Science

Econometrics

Mathematics

Outils

Azure Databricks

Big data tooling

Description du poste

Rabobank is seeking a Medior Data Scientist for Transaction Monitoring to detect criminal activity through analytics on transactions across millions of customers. You will enhance detection rules, build models, and collaborate with analysts, IT, and business stakeholders in a hybrid work setting.

The role requires a Master’s in a quantitative field, 3–5 years of data science experience, Python and PySpark skills, and a track record of moving models into production.