Senior Data Scientist – Azure Databricks Job ID: JP055076

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)