Senior Data Scientist (K10052)
Primary stack
Nice to have's
Job description
About the Position
Senior Data Scientist (K10052)
Location: Brussels, Belgium
Duration: 07/09/2026 - 31/12/2026
About the Role
The Data Office is the cornerstone of data and AI activities within NIHDI (INAMI-RIZIV). You will join a multidisciplinary team of data scientists, data engineers, architects, analysts, project managers, and healthcare experts. Together, we are developing the next generation of anomaly-detection solutions to analyze large volumes of Belgian healthcare data, identify unusual billing patterns, prioritize high-risk cases, and support medical and administrative controls with explainable, data-driven insights. The solutions are designed and industrialized using Azure Databricks, advanced machine learning, and the Microsoft Azure ecosystem.
Responsibilities
- Lead the design, development, and industrialization of machine-learning solutions in Azure Databricks.
- Collaborate with healthcare domain experts, data engineers, business analysts, and policy stakeholders to identify high-value use cases and translate business needs into data-driven solutions.
- Develop anomaly-detection, risk-scoring, and classification models using supervised and unsupervised techniques.
- Define model evaluation approaches covering accuracy, explainability, and operational value.
- Collaborate with team members on data/ML pipelines, feature engineering, and solution integration.
- Use Databricks and Azure services including PySpark, Delta Lake, Unity Catalog, MLflow, Workflows, Azure Data Factory, Azure DevOps, and Azure Storage.
- Apply security, privacy, governance, and responsible-AI requirements.
- Provide technical leadership, define standards, and coach team members.
Requirements
Core Skills
- Data Science & Machine Learning: Expert
- Python: Expert
- Azure Databricks & PySpark: Junior
Secondary Skills
- Anomaly Detection & Risk Modelling: Junior
- MLflow & MLOps: Junior
- Microsoft Azure: Junior
Languages
- English: Active knowledge
- Dutch: Active knowledge
- French: Active knowledge
Experience
- Minimum 10 years of experience in data science, machine learning, or advanced analytics.
Education
- Master’s or Ph.D. in Data Science, Computer Science, AI, Statistics, Mathematics, Engineering, or equivalent experience.
Nice to Have
- Experience in healthcare, insurance, fraud detection, or the public sector.
- Experience working in an agile environment.
We Offer
- A good work-life balance with flexible working hours within the 40-hour week.
- Possibility of teleworking (3 days/week).
- Workspaces organized according to activities.
- Easy accessibility via public transport.
- Car and bike parking in the building.
- Individual locker.
- Company restaurant.
About the Company
We are seeking a Senior Data Scientist with 10+ years experience in data science and machine learning to join our team in Brussels, Belgium. The role combines advanced analytics, technical leadership, and close collaboration with healthcare experts, data engineers, and architects.
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