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# Senior Data Scientist/Machine Learning Engineer/Fluent Dutch speaking

- **Company:** Endeavour Recruitment
- **Location:** Schaarbeek, Belgium
- **Experience:** Expert
- **Salary:** €174,200
- **Contract:** Temporary contract
- **Skills:** A/B Testing, Artificial Intelligence, Airflow, Amazon Web Services, Automation of Tests, Continuous Integration, Data Systems, Python (Programming Language), Machine Learning, NoSQL, Tensorflow, Software Engineering, SQL Databases, Pytorch, Git, Scikit Learn, Kubernetes, Information Technology, Data Analytics, Machine Learning Operations, Software Version Control, Data Pipelines, Docker
- **Published:** November 6, 2026
- **Apply:** https://www.careerboard.com/be/en/find-jobs-in-Belgium/-AC730312B7B1B87C55/

## About the Role

* 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.

## Description

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.