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# Principal Data Scientist

- **Company:** Unitedhealth Group Inc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Clinical Data Repository, Cluster Analysis, Customer Data Management, Information Engineering, Data Files, Data Visualization, Python (Programming Language), Machine Learning, Natural Language Processing, Open Source Technology, Tensorflow, SQL Databases, Google Cloud, Pytorch, Fast Healthcare Interoperability Resources, Large Language Models, Snowflake, Apache Spark, Deep Learning, Generative AI, Pandas, Health Level Seven International, Machine Learning Operations, Databricks
- **Published:** September 18, 2026
- **Apply:** https://www.dice.com/job-detail/6fb0092b-b79e-44dc-91fe-e68413404dcf

## About the Role

* 8+ years of experience in machine learning, artificial intelligence, or applied data science to develop data products in a business environment
 * 8+ years of experience in Python-based machine learning development using frameworks such as PyTorch, TensorFlow, Pandas or equivalent
 * 5+ years of experience designing and deploying production machine learning systems leveraging regression, natural language processing algorithms, classification and clustering, time-series forecasting and predictive/prescriptive modeling
 * 5+ years of experience providing data driven solutions, predictive models, reports, or recommendations within a business environment using SQL or data visualization tools. This can include previous work in data science teams, business intelligence, financial reporting or analytics environments
 * 5+ years of experience working as a key SME to executive or C-Suite stakeholders, * Experience working with distributed ML systems and large-scale data platforms such as Snowflake, Spark, Databricks, or other ML systems
 * Experience working as a project or team lead on the development of data products in a business environment
 * Experience deploying AI solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform
 * Experience working with healthcare datasets and standards such as claims, EHR, ICD, CPT, SNOMED, FHIR, or HL7
 * External contributions such as publications, patents, or open-source projects in machine learning or generative AI

## Description

This Principal Data Scientist role will be a part of the Decision Sciences team in Client Center of Excellence organization. The role will be responsible for strategic interpretation of data and business requirements to provide executive leadership and the growth with customer centric data driven insights and AI/ML solutions. Working in collaboration with Director, Decision Sciences and other data scientists team members, this role works to identify new business requirements across the organization, translate business requirements into data models, perform data engineering to combine diverse data sets, and develop custom algorithms for predictive AI models to support the Growth business and Optum business units., * Lead development of advanced AI/ML systems using techniques such as deep learning, representation learning, time-series modeling, survival analysis, and probabilistic modeling to solve complex healthcare problems

 * Develop Generative AI and LLM-powered solutions including retrieval-augmented generation (RAG) pipelines, domain-adapted LLMs, and AI copilots for enterprise workflows
 * Lead collaboration with key business stakeholders to develop business solutions based on data driven insights to solve complex business problems
 * Lead projects that combine diverse customer data sets to identify trends and opportunities, develop custom machine learning models, and provide recommendations to optimize the business and address data-related problems
 * Serve as a senior technical authority in AI/ML by mentoring data scientists and reviewing complex modeling approaches and architecture
 * Coordinate with different functional teams to improve customer data architecture, ensure accuracy of model output and implement new data gathering processes
 * Create customized summaries, business presentations and documentation for internal business clients based on the results of research
 * Collaborate with engineering, platform, and product teams to operationalize scalable AI/ML and GenAI systems within enterprise platforms

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.


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