Job Description

Senior Data Scientist – Azure Databricks

About the Role

We are looking for an experienced Senior Data Scientist to design and industrialise machine-learning solutions for large-scale healthcare data. The role combines advanced analytics, technical leadership, and collaboration with data engineers, architects, healthcare experts, and business stakeholders.

Key Responsibilities

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  Develop anomaly detection, risk-scoring, classification, and clustering models.
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  Design and industrialise ML solutions using Azure Databricks, Python, PySpark, and SQL
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  Build and support data/ML pipelines, feature engineering, and model integration.
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  Use MLflow, Delta Lake, Unity Catalog, Databricks Workflows, Azure Data Factory, and Azure DevOps
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  Define model evaluation approaches focusing on accuracy, explainability, and business value.
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  Apply security, privacy, governance, and responsible-AI principles.
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  Provide technical leadership, establish standards, and coach team members.

Requirements

• 10+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
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  Strong expertise in Python, SQL, Azure Databricks, and PySpark
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  Strong knowledge of machine-learning techniques, particularly anomaly detection and risk modelling
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  Experience with MLflow, Delta Lake, Unity Catalog, MLOps, Git, CI/CD, and automated testing
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  Experience with large-scale data processing and Explainable AI.
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  Healthcare, insurance, fraud detection, or public-sector experience is an advantage.
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  Strong analytical, communication, leadership, and problem-solving skills.
• Dutch or French: native/mother tongue; passive knowledge of the other national language.
• English: professional working proficiency.

Practical Information

• Location: Brussels, Belgium
• Work Model: Hybrid – minimum 2 days onsite, up to 3 days remote per week.
• Workload: Full-time (40 hours/week)