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Data Scientist

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Job Location:

Brussels - Belgium

Monthly Salary: Not provided by the employer

Posted: 21 August 2026 (15 hours ago)

Application Deadline: 18 November 2026

Vacancies: 1 Vacancy

Job Summary

The Senior Lead Data Scientist will design develop and industrialise scalable machine-learning solutions using Azure Databricks Python PySpark MLflow and Azure services. The role combines advanced data science expertise with technical leadership working closely with domain experts data engineers and architects to deliver robust production-ready solutions.

Requirements

Education: Masters or Ph.D. in Data Science Computer Science Artificial Intelligence Statistics Mathematics Engineering or a related discipline; equivalent professional experience will also be considered.
Experience: 10 years of hands-on experience in data science machine learning advanced analytics or a closely related field.
Technical Skills: Advanced proficiency in Python and SQL with strong hands-on expertise in Azure Databricks and PySpark.
Machine Learning: Extensive knowledge of machine learning methods including anomaly detection classification clustering explainable AI and risk-scoring models applied to large-scale datasets.
Databricks Platform: Proven experience with key Databricks capabilities including MLflow Delta Lake Unity Catalog and Databricks Workflows.
Engineering & MLOps: Strong understanding of software engineering and MLOps practices including Git automated testing CI/CD pipelines model deployment and lifecycle management.
Ways of Working: Demonstrated experience delivering solutions within Agile development environments.
Industry Experience: Background in healthcare insurance fraud detection or the public sector would be highly advantageous.

Required Skills:

Technical Skills Required Expertise in statistics and machine learning 7 to 10 years of experience in data science ideally in the healthcare sector Knowledge of regulatory standards (FDA GMP ISO) Excellent written and spoken English Ability to write detailed technical documentation in English Proficiency in R and/or Python Expected Soft Skills Rigor autonomy and strong organizational skills Ability to work in a multicultural and project-based environment Strong interpersonal skills: listening teaching simplification synthesis Service-oriented and scientifically driven mindset Ability to lead and collaborate remotely Flexibility regarding project changes and scheduling constraints Effective in reporting and meeting facilitation

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