Context

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 analyse large volumes of Belgian healthcare data, identify unusual billing patterns, prioritise high-risk cases and support medical and administrative controls with explainable, data-driven insights. The solutions are designed and industrialised using Azure Databricks, advanced machine learning and the Microsoft Azure ecosystem.

Roles & Responsibilities

• Lead the design, development and industrialisation 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.

Technical Skills

• Master’s or Ph.D. in Data Science, Computer Science, AI, Statistics, Mathematics, Engineering or equivalent experience.
• Minimum 10 years of experience in data science, machine learning or advanced analytics.
• Strong experience with Python, SQL, Azure Databricks and PySpark.
• Strong knowledge of ML techniques, including anomaly detection, classification, clustering, etc.
• Experience with MLflow, Delta Lake, Unity Catalog and Databricks Workflows.
• Experience with Git, automated testing, CI/CD and MLOps practices.
• Experience with explainable AI, risk scoring and large-scale data processing.
• Experience in healthcare, insurance, fraud detection or the public sector is a strong asset.
• Experience working in an agile environment.

Profile

• Strong analytical and technical skills.
• Pragmatic, autonomous and delivery-focused.
• Strong ownership and problem-solving mindset.
• Able to translate business needs into scalable analytical solutions.
• Clear communicator with strong ownership and leadership capabilities.
• Strong focus on explainability, quality and maintainability.
• Team player, flexible and eager to learn.

Job description summary

The Senior Data Scientist will develop and industrialise scalable machine-learning solutions using Azure Databricks, Python, PySpark, MLflow and Azure services. The role combines advanced analytics, technical leadership and close collaboration with healthcare experts, data engineers and architects.

Level of expertise

• Mother tongue: Dutch or French, with passive knowledge of the second national language
• Professional working proficiency in English

What we offer

An interesting job in the realization of Data services that has an impact on society, with many advantages:

• A good work-life balance with flexible working hours within the 40-hour week (7.30 a.m. to 8 p.m. with fixed slots between 9 a.m. and 12 p.m. and 1 p.m. and 4 p.m.)
• 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