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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal AI Data Scientist, E&I Affordability - **Company:** Unitedhealth Group Inc - **Location:** Minnetonka, MN, United States (Remote available) - **Experience:** Experienced - **Salary:** $112,700.0 - $193,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Frameworks, Computer Programming, Python (Programming Language), Machine Learning, SQL Databases, Feature Engineering, Snowflake, Build Management, Machine Learning Operations, Databricks - **Published:** September 25, 2026 - **Apply:** https://www.nexxt.com/job.asp?id=3404535101&tx=KP505PFK&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 7+ years of experience in data science, applied statistics, machine learning, or artificial intelligence * 5+ years of SQL experience * 4+ years of programming experience in Python and/or R * 3+ years working with healthcare payer, provider, or health plan data * Hands-on experience with healthcare claims data (medical, pharmacy) * Demonstrated experience deploying models into production environments and measuring real-world impact on cost, quality, or outcomes * Experience mentoring data scientists and setting technical direction for a team * Proven excellent communication skills, with experience presenting to actuarial, clinical, and executive audiences * Willing and able to travel 10% +/- depending on business need Preferred Qualification: * Experience with Snowflake or Databricks *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy ## Description * Lead large, complex Data Science and AI initiatives from problem framing through deployment, measurement, and value realization. * Translate ambiguous business challenges into scalable analytical, machine learning, causal inference, optimization, or AI-driven solutions * Design and build AI-enabled products, research agents, and analytical capabilities that connect enterprise data sources and generate actionable insights * Provide technical architecture and solution design guidance for analytical products and production AI systems * Establish best practices for feature engineering, model development, validation, evaluation, governance, and deployment * Conduct technical reviews and ensure analytical rigor, scalability, and business impact across initiatives * Partner with business, product, engineering, and technology leaders to identify opportunities, prioritize investments, and realize measurable value * Drive innovation through emerging AI technologies, reusable frameworks, intellectual property, and modernized analytical platforms * Develop intelligent workflow, portfolio management, and decision-support capabilities that improve execution efficiency and outcome tracking * Communicate insights, recommendations, and business value to executive leadership and influence strategic decision-making * Represent Data Science in enterprise architecture, governance, and technology strategy discussions * Lead cross-functional initiatives focused on affordability, cost management, operational efficiency, and business transformation You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. ## Related Videos - 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