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# Medior Data Scientist

- **Company:** ASN Bank
- **Location:** Utrecht, Netherlands
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Continuous Integration, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Machine Learning, SQL Databases, Unstructured Data, Management of Software Versions, Data Processing, Feature Engineering, Scikit Learn, Production Code, Performance Monitor, Machine Learning Operations
- **Published:** November 14, 2026
- **Apply:** https://www.werk.nl/nl/vacatures/72300577

## About the Role

selection, evaluation, and interpretability. - Programming: Python and/or R; experience with notebooks and production-grade code practices. - ML tooling: scikit-learn or similar; familiarity with MLOps concepts (versioning, monitoring, CI/CD) is a plus. - Data: SQL; experience with data warehouses/lakes and ETL/ELT concepts. - Communication: stakeholder management, clear storytelling, and ability to explain trade-offs. - Experience with cloud platforms and scalable data processing. - Domain knowledge relevant to the business context.
Data Scientist Anti-Financial Crime
Als Da...

## Description

Develop, evaluate, and deploy data-driven solutions that improve decision-making and business performance. Translate complex data into actionable insights and collaborate with stakeholders to deliver measurable outcomes. - Analyze structured and unstructured data to identify trends, patterns, and opportunities. - Build, validate, and maintain predictive and descriptive models using appropriate statistical and machine learning methods. - Design experiments (e.g., A/B tests) and measure impact with clear success metrics. - Prepare, clean, and transform datasets; ensure data quality and reproducibility. - Create dashboards, reports, and narratives that communicate findings to technical and non-technical audiences. - Collaborate with data engineers and software teams to operationalize models and monitor performance. - Document methodologies, assumptions, and model limitations to support governance and auditability. - Data science: statistical analysis, feature engineering, model