Mission Overview:
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:
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Lead the design, development, and industrialization of machine-learning solutions in Azure Databricks.
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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.
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Develop anomaly-detection, risk-scoring, and classification models using supervised and unsupervised techniques.
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Define model evaluation approaches covering accuracy, explainability, and operational value.
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Collaborate with team members on data/ML pipelines, feature engineering, and solution integration.
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Use Databricks and Azure services including PySpark, Delta Lake, Unity Catalog, MLflow, Workflows, Azure Data Factory, Azure DevOps, and Azure Storage.
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Apply security, privacy, governance, and responsible-AI requirements.
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Provide technical leadership, define standards, and coach team members.
Technical Skills:
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Master’s or Ph.D. in Data Science, Computer Science, AI, Statistics, Mathematics, Engineering, or equivalent experience.
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Minimum 10 years of experience in data science, machine learning, or advanced analytics.
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Strong experience with Python, SQL, Azure Databricks, and PySpark.
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Strong knowledge of ML techniques, including anomaly detection, classification, clustering, etc.
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Experience with MLflow, Delta Lake, Unity Catalog, and Databricks Workflows.
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Experience with Git, automated testing, CI/CD, and MLOps practices.
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Experience with explainable AI, risk scoring, and large-scale data processing.
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Experience in healthcare, insurance, fraud detection, or the public sector is a strong asset.
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Experience working in an agile environment.
Profile:
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Strong analytical and technical skills.
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Pragmatic, autonomous, and delivery-focused.
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Strong ownership and problem-solving mindset.
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Able to translate business needs into scalable analytical solutions.
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Clear communicator with strong ownership and leadership capabilities.
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Strong focus on explainability, quality, and maintainability.
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Team player, flexible, and eager to learn.
What we offer:
An interesting job in the realization of Data services that has an impact on society, with many advantages:
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A good work-life balance with flexible working hours within a 40-hour week.
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Possibility of teleworking (3 days/week).
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Workspaces organized according to activities.
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Easy accessibility via public transport.
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Car and bike parking in the building.
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Individual locker.
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Company restaurant.
If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today .
Duration: 07/09/2026 - 31/12/2026 4 months • (full time)
Skills required:
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Anomaly detection & Risk modelling - Level: Junior - Most recent: Any time
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Azure Databricks & PySpark - Level: Junior - Most recent: Any time
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data science & Machine Learning - Level: Expert - Most recent: Any time
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Microsoft Azure - Level: Junior - Most recent: Any time
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MLfow & MLOps - Level: Junior - Most recent: Any time
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Python - Level: Expert - Most recent: Any time
Language requirements:
Dutch
Level Active knowledge
English
Level Active knowledge
French
Level Active knowledge
