Data Scientist

Your Role

The AI & Machine Learning team works in partnership across the enterprise to accelerate business outcomes by applying machine learning, statistical analysis, generative AI, and applied AI to build intelligent products that create "intelligence at scale." Reporting to the Director, AI & Machine Learning, the Data Scientist, Consultant will develop and deploy novel applications that leverage machine learning models, statistical methods, and generative AI. This role focuses on rapidly developing new features and working across partner teams to deliver solutions and maximize impact, translating cutting-edge AI research into real-world products and taking features from 0 to 1. You will design, build, and ship production-grade AI products, including LLM-powered applications, AI agents and copilots, retrieval-augmented generation (RAG) and search, statistical models, and AI-enabled automation, embedded directly into customer-facing applications and enterprise workflows such as claims, payment integrity, clinical insights, and member experience.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow – personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

Responsibilities

Your Work

In this role, you will: 

• Develop and deploy novel applications that leverage machine learning and generative AI models, contributing to the technical direction for AI, machine learning, and statistical analysis across the organization
• Design and develop scalable applications leveraging machine learning and generative AI models—LLM applications, copilots, agents, and RAG and search—embedded in customer-facing products and enterprise workflows
• Rapidly prototype new features and iterate based on evaluation results and statistical analysis
• Contribute to the architecture and development of new products and features from 0 to 1
• Collaborate with researchers and product managers to translate cutting-edge AI and machine learning research into tangible product features
• Build the APIs, services, and data and retrieval pipelines that expose AI and machine learning capabilities to applications
• Optimize software performance and ensure the reliability of deployed applications
• Apply and promote best practices for building and deploying machine learning and generative AI applications
• Evaluate model performance using statistical analysis, analyze results, and implement improvements, ensuring responsible and compliant AI