Senior Data Scientist/Machine Learning Engineer/Fluent Dutch speaking

An experienced Senior Data Scientist/Machine Learning Engineer to develop and deploy intelligent, data-driven solutions that improve member engagement and personalisation.

You will work across the full machine-learning lifecycle, combining data science, ML engineering, experimentation and event-driven data solutions., * Develop machine-learning models to analyse behavioural and longitudinal data, identifying engagement patterns, retention, drop-off and churn.

• Build, deploy and monitor production-ready ML solutions using Python and AWS.
• Implement MLOps practices, including model versioning, monitoring, CI/CD and automated testing.
• Design and analyse A/B tests and controlled experiments to measure the impact of personalisation and recommendations.
• Apply statistical and causal reasoning to turn insights into actionable business recommendations.
• Contribute to event-driven data pipelines and decision-data solutions.
• Collaborate with Data Scientists, Data Engineers, Product Owners and architects to deliver scalable technical solutions.

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Statistics, Engineering or a related field.
• Proven experience as a Senior Data Scientist, Machine Learning Engineer or in a similar role.
• Strong Python, SQL and machine-learning skills.
• Experience developing and deploying ML models using real-world behavioural or time-dependent data.
• Solid knowledge of statistics, A/B testing and experimental design.
• Strong understanding of MLOps, model deployment, monitoring and lifecycle management.
• Experience with Git, CI/CD, automated testing and modern software engineering practices.
• Strong communication skills and the ability to translate business requirements into technical solutions.

Nice to have:

• Experience with AWS, particularly Amazon SageMaker.
• Familiarity with Scikit-learn, PyTorch or TensorFlow.
• Experience with dbt, Dagster, NoSQL databases or Docker/Kubernetes.
• Knowledge of rules engines, decision trees or decisioning platforms.