Senior Data Scientist – Azure Databricks Job ID JP055076
Posted:
15 August 2026 (6 hours ago)
Application Deadline:
12 November 2026
Vacancies:
1 Vacancy
Job Summary
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
- Develop anomaly detection risk-scoring classification and clustering models.
- Design and industrialise ML solutions using Azure Databricks Python PySpark and SQL.
- Build and support data/ML pipelines feature engineering and model integration.
- Use MLflow Delta Lake Unity Catalog Databricks Workflows Azure Data Factory and Azure DevOps.
- Define model evaluation approaches focusing on accuracy explainability and business value.
- Apply security privacy governance and responsible-AI principles.
- Provide technical leadership establish standards and coach team members.
Requirements
- 10 years of experience in Data Science Machine Learning or Advanced Analytics.
- Strong expertise in Python SQL Azure Databricks and PySpark.
- Strong knowledge of machine-learning techniques particularly anomaly detection and risk modelling.
- Experience with MLflow Delta Lake Unity Catalog MLOps Git CI/CD and automated testing.
- Experience with large-scale data processing and Explainable AI.
- Healthcare insurance fraud detection or public-sector experience is an advantage.
- 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)