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Data Scientist

Data Scientist (BBBH17548) Utrecht , Nederland

We are looking for a Data Scientist for one of our clients in the financial sector. This role is perfect for someone who is passionate about developing and maintaining machine learning models and thrives in a collaborative, fast-paced environment. You’ll be at the forefront of creating solutions that address complex challenges, streamline business processes, and unlock new opportunities through data.

Your Role

As a Medior Data Scientist, you’ll play a key part in the full machine learning lifecycle—from data analysis and feature engineering to model development, deployment, and monitoring. You’ll work with a variety of techniques, particularly tree-based models and clustering, to bring production-grade solutions to life. This is a hands-on role requiring strong engineering capabilities and an ability to communicate technical insights clearly to both peers and stakeholders.

Key Responsibilities

  • Develop, maintain, and implement machine learning models in a production environment

  • Analyze and combine data to build high-quality features for modeling

  • Write production-ready code in Python (and PySpark) for model deployment

  • Work independently as well as collaboratively within a model development team

  • Provide clear documentation and communication of methodologies, findings, and implementations

  • Collaborate closely with DevOps and IT teams to ensure models are deployed and monitored effectively

Your Background

  • Minimum 4 years of experience in Data Science or a related role

  • Solid understanding of machine learning and statistical modeling, especially tree-based and clustering techniques

  • Proven experience with model deployment, tuning, and performance monitoring using MLOps/DevOps approaches

  • Proficient in writing production-ready code using Python and PySpark

  • Experience with Databricks and cloud environments (preferably Azure)

  • Skilled in Git and CI/CD pipeline development

  • Familiarity with ETL workflows, data pipelines, databases, and data lakes

  • Knowledge of banking or financial services is a plus

  • Experience with Kedro is a bonus

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