Data Scientist
Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company connecting patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. Backed by nearly 100 years of experience, with more than 50,000 employees in nearly 60 countries, Cardinal Health ranks among the top 20 on the Fortune 500.
Department Overview
AI & Data Science team builds analytics and artificial intelligence solutions that drive success for Cardinal Health by creating material savings, efficiencies and revenue growth opportunities. The team drives business innovation by leveraging emerging technologies and turning them into differentiating business capabilities.
Job Overview
The primary role of the Data Scientist is to support, maintain, and iteratively improve production Agentic AI and Machine Learning models within the Finance Digital Solutions ecosystem. This position focuses on the execution, monitoring, and optimization of Generative AI agents, prompt templates,



and core data science pipelines. The candidate will utilize deep understanding of model behavior, agent observability, and statistical validation to ensure high-quality and reliable outputs in production finance environments.
Responsibilities
- Monitor and evaluate the outputs of production Agentic AI models, verifying performance metrics and maintaining agent evaluation data.
- Design, test, and optimize prompt engineering strategies to improve model response accuracy, latency, and relevance.
- Perform exploratory data analysis and build transformation pipelines using Python and SQL to support ongoing model performance.
- Support API frameworks such as FastAPI or Flask that serve model predictions and agent decisions to upstream finance systems.
- Collaborate with MLOps and Run Lead to troubleshoot model drift, logic errors, or connection issues to underlying databases.
- Develop an understan

📌 Data Scientist (India)
🏢 Cardinal Health
📍 India