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Senior Data Scientist

Sansaone


Job Location:

Brussels - Belgium

Monthly Salary: Not provided by the employer
Posted: 21 August 2026 (15 hours ago)
Application Deadline: 18 November 2026
Vacancies: 1 Vacancy

Job 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.

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:

  • Masters 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.

Skills:

  • Anomaly detection & Risk modelling
  • Azure Databricks & PySpark
  • data science & Machine Learning
  • Microsoft Azure
  • MLfow & MLOps
  • Python

Required Skills:

AZURE DATA FACTORYAZURE SERVICESPYTHONAZUREMLAUTOMATED TESTINGGITCLUSTERINGPYSPARKSQLMACHINE LEARNINGCI/CDWORKFLOWS


About Company

Sansaone

30 employees

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Welcome to Sansaone, a dynamic force in the realm of ICT talent acquisition. Born out of a passion for excellence and a vision for connecting outstanding professionals with forward-thinking organizations, we stand as a beacon for strategic recruitment solutions in the Information and ... View more

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