Senior Data Scientist
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Role details
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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)
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