Senior Data Scientist

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.

• →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.

• 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.

• 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

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