$90,000–$115,000 Per Year
Actuals, Artificial Intelligence (AI), Cloud Computing, Data Science, Data Sets, Database Extract Transform and Load (ETL), Demographics, Forecasting, Geography, Healthcare, Insurance, Machine Learning, Microsoft Product Family, Microsoft Windows Azure, Model Validation, Performance Metrics, Power BI, Predictive Modeling, SQL (Structured Query Language), Validation Testing
Must Have Technical/Functional Skills
Data Scientist to build a Predictive Benefit Utilization Model and an Attribution Model leveraging Microsoft Fabric, with the objective of improving accuracy over current manual / Excel‑based projections and enabling data‑driven executive decision‑making
Roles & Responsibilities
- Design, develop, and validate a Baseline Utilization Prediction Model using historical claims and member data (demographics, geography, plan design, diagnosis/procedure codes)
- Develop an Attribution / Explainability layer to identify key drivers of deviation between expected and actual utilization (where data permits)
- Perform feature engineering on structured insurance datasets sourced from on prem SQL DW and curated in Microsoft Fabric / OneLake
- Apply appropriate statistical, machine learning, or time series techniques to improve forecast accuracy versus current baseline methods
- Conduct model validation and back testing, comparing predicted utilization against actuals and existing manual projections
- Ensure model explainability (feature importance, drivers, narratives) suitable for executive and business stakeholder consumption
- Collaborate with Data Engineering to ensure data readiness, quality checks, and semantic alignment in Fabric
- Support Power BI / Fabric semantic model consumption, ensuring model outputs can be operationalized in reports and analytics layers
- Document modeling approach, assumptions, limitations, and outcomes for stakeholder review and next phase decisioning
Required Skills & Experience
Core Data Science
- Strong experience in predictive modeling, regression, classification, and/or time series forecasting
- Proficiency in Python (pandas, numpy, scikit learn, statsmodels or equivalent)
- Experience with model validation techniques, accuracy metrics, and performance comparison
Domain Experience
- Prior experience with insurance, healthcare, or benefits utilization data (claims, eligibility, plan design preferred)
- Ability to interpret and translate business drivers behind utilization patterns
Platform & Tools
- Experience working in cloud analytics platforms (Microsoft Fabric preferred; Azure / Databricks acceptable)
- Familiarity with SQL based data sources and collaboration with ETL / data engineering teams
- Exposure to Power BI or semantic models is a plus (not mandatory)
- Experience with explainable AI (XAI) techniques
- Prior exposure to Microsoft Fabric Copilot / AI assisted analytics concepts
Salary Range: $90,000 to $115,000 per year
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Tata Consultancy Services Ltd