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Data Scientist

  • Brussel, Brussel
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Senior Data Scientist

Start Date: As soon as possible

Contract Type: Full-time, with 2 days on-site

Location: Brussels

Languages Required: Trilingual (Dutch or French as mother tongue, passive knowledge of the second national language, and professional working proficiency in English)

Role Context:

Join a multidisciplinary team within the Data Office, the cornerstone of data and AI activities. The team consists of data scientists, data engineers, architects, analysts, project managers, and healthcare experts. The focus is on developing next-generation anomaly-detection solutions to analyze large volumes of healthcare data, identify unusual billing patterns, prioritize high-risk cases, and support medical and administrative controls with explainable, data-driven insights. Solutions are designed and industrialized using Azure Databricks, advanced machine learning, and the Microsoft Azure ecosystem.

Roles & 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.

Technical Skills Required:

  • 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.