Gen AI Engineer

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

• Build baseline, decomposition, behavioral driver, and forecasting models for utilization and cost

• 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)

• Integrate models with Power BI semantic models

• Design and implement AI/LLM-based agents for conversational querying and insight generation across Azure datasets

Do you have experience in Statistics?, * 5-8+ years in data science or advanced analytics

• Strong experience in insurance / healthcare / benefits analytics

• Proficiency in Python, SQL, ML & statistical modeling

• 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. Programming Languages:

• Python (Core, OOP, AsyncIO)

• GenAI (LLMs, Prompt Engineering, RAG, Embeddings, Vector Databases)

• Data Analysis & Processing (Pandas, NumPy, PySpark)

Frameworks: Flask, FastAPI ML/AI Libraries: scikit learn, Transformers API Development: REST DevOps: Docker, Kubernetes, OpenShift Version Control: Git

(part of Tata group) 3.93.9 out of 5 stars Irving, TX $100,000 - $140,000 a year