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Data Scientist Predictive Utilization AnalyticsTata Consultancy Services • United States
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Data Scientist Predictive Utilization Analytics

Tata Consultancy Services
  • US
    United States
  • US
    United States
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Über

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
  • United States

Sprachkenntnisse

  • English
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