Data Scientist
Posted 12 Aug 2026
Advertised as “Data Scientist, Principal - AI Product Engineering”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 10+ yrs
- Management level
- People management
- Employment
- Hybrid
No salary listed for this role.
Field of studyComputer Science, Quantitative discipline (or related)
Study levelBachelor's
Study levelMaster's or higher
Your Role
The AI & Machine Learning team works in partnership across the enterprise to accelerate business outcomes by applying AI, machine learning, and generative AI to build intelligent products that create “intelligence at scale.” Reporting to the Director, AI & Machine Learning, the Data Scientist, Principal will lead the development and deployment of novel applications that leverage generative AI models. 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, and AI-enabled automation embedded directly into customer-facing applications and enterprise workflows such as claims, payment integrity, clinical insights, and member experience. You will set the technical direction for how AI is applied across the organization.
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:
- Lead the development and deployment of novel applications that leverage generative AI models, setting the technical direction for AI and machine learning across the organization
- Design and develop scalable applications leveraging generative AI models including 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
- Lead the architecture and development of new products and features from 0 to 1
- Collaborate with researchers and product managers to translate cutting-edge AI research into tangible product features
- Build the APIs, services, and data and retrieval pipelines that expose AI capabilities to applications
- Optimize software performance and ensure the reliability of deployed applications
- Champion best practices for building and deploying generative AI applications
- Evaluate model performance, analyze results, and implement improvements, ensuring responsible and compliant AI
- Mentor and develop team members, fostering a collaborative and high-performing environment