Senior Data Scientist

Keystone Solutions
Brussel, Belgium
3 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours

Tech stack

Unity 3d Artificial Intelligence Data Analysis Automation of Tests Microsoft Azure Big Data Cluster Analysis Continuous Integration Fraud Prevention and Detection Python (Programming Language) Machine Learning SQL Databases
+10 more
Systems Integration Feature Engineering Azure Data Factory Model Validation Git Data Lakes Pyspark Information Technology Machine Learning Operations Databricks

Job description

Join Keystone Solutions as a Senior Data Scientist on a consultancy mission at a client site. You will be part of a multidisciplinary team focused on developing advanced anomaly-detection solutions to analyze large volumes of healthcare data. Your work will help identify unusual billing patterns, prioritize high-risk cases, and support medical and administrative controls with explainable, data-driven insights. 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.

Requirements

  • 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., * Anomaly detection & Risk modelling - Level: Junior - Most recent: Any time
  • Azure Databricks & PySpark - Level: Junior - Most recent: Any time
  • data science & Machine Learning - Level: Expert - Most recent: Any time
  • Microsoft Azure - Level: Junior - Most recent: Any time
  • MLfow & MLOps - Level: Junior - Most recent: Any time
  • Python - Level: Expert - Most recent: Any time

Benefits & conditions

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 a 40-hour week.
  • 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.

If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today at . Duration: 07/09/2026 - 31/12/2026 4 months * (full time)

Apply for this position

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Apply on www.careerjet.be
Prepare application

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