Senior Data Scientist

Job Description

Job Description: Senior Data Scientist – Predictive Analytics & AI Agents (Azure)

We are seeking a Senior Data Scientist to build predictive and explainable ML models focused on claims utilization analytics and forward-looking forecasts. The role will also design AI agents that enable conversational data insights over enterprise datasets within the Azure Data Fabric ecosystem.

Key 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 Azure & Databricks
• 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
• Develop frequency–severity models (Poisson, Negative Binomial, Gamma, Tweedie)
• Apply explainable AI techniques (e.g., SHAP, driver attribution)
• Work hands-on within Azure Data Fabric (OneLake, Lakehouse, Fabric Data Science), Domino platform
• Integrate models with Power BI semantic models
• Design and implement AI/LLM-based agents for conversational querying and insight generation across Azure datasets

Required Skills

• 5–8+ years in data science or advanced analytics
• Strong experience in group insurance / healthcare / benefits analytics. Ability to interpret and translate business drivers behind utilization pattern
• Proficiency in Python, SQL, ML & statistical modeling
• Experience working in cloud analytics platform (Azure preferred)
• Experience building AI agents or copilots using LLMs (Azure OpenAI preferred)
• Strong communication skills to translate analytics into business insights

Preferred: Azure ML, Fabric, MLOps, Feature Stores, Responsible AI experience.

CTC: 3500000 - 4500000
Experience: 5 - 10 years
 

Required skills

• Python
• Sql
• Data scientist
• Ai/ml
• Healthcare
• Machine learning
• Predictive models

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