Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Position Summary
This Data Scientist role is intended to add dedicated hands-on capacity to support advanced AI development for War Room analytics, with a focus on building and operationalizing analytics and AI capabilities for critical operational events.
The role will help enable faster issue detection, deeper root cause insight, and more actionable executive-level visibility by translating complex operational signals into scalable, usable intelligence for business and technology stakeholders.
This work requires solid technical execution across data, analytics, machine learning, and applied AI, along with the ability to develop analytical workflows, AI-enabled insights, and executive-ready outputs that improve situational awareness and response effectiveness during operational scenarios
Primary Responsibilities:
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War Room Analytics & AI Solution Support
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Support the design, development, and implementation of advanced analytics and AI capabilities for War Room analytics and operational event management
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Analyze operational signals, incident trends, business impacts, and technology indicators to support faster issue detection and escalation awareness
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Apply machine learning, natural language processing, and AI techniques to support anomaly detection, signal classification, summarization, and insight generation use cases
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Partner with operations, business, analytics, data engineering, and technology stakeholders to convert War Room needs into scalable analytical solutions
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Document analytical approaches, assumptions, AI outputs, and operational insights in a clear and consumable format for business and technology audiences
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Data Science & Model Development
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Develop, test, and validate analytical models and AI-enabled outputs that support issue detection, root cause analysis, operational prioritization, and executive visibility
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Prepare, clean, explore, and transform structured and unstructured data from operational, technology, business, and event-management sources
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Use statistical analysis, machine learning, and data visualization techniques to convert complex operational signals into actionable intelligence
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Build reusable code, analytical workflows, model evaluation routines, and automation assets using Python and related analytics libraries
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Monitor model and workflow outputs to support continuous improvement, response accuracy, and operational usefulness
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Generative AI & Intelligent Automation
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Support development of Generative AI solutions for operational event summarization, root cause insight generation, executive brief creation, and War Room intelligence workflows
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Assist in building AI-enabled workflows that reduce manual analysis effort and improve the speed and consistency of operational event response
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Apply prompt engineering, retrieval-based approaches, and model evaluation techniques to create reliable and explainable AI outputs
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Follow responsible AI, data privacy, model governance, and documentation standards while developing analytics and AI solutions
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Technical Delivery & Collaboration
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Contribute to the development of scalable data science solutions, analytical pipelines, and AI-enabled capabilities
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Work with data engineering teams to access, validate, and integrate data required for analytics and model development
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Support testing, troubleshooting, optimization, and production readiness of analytics and AI solutions
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Participate in Agile delivery routines, sprint planning, demos, and solution reviews
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Maintain solid coding, version control, and documentation practices across assigned work
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Stakeholder Management & Strategic Consulting
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Collaborate with business, operations, analytics, product, and technology stakeholders to understand requirements and deliver analytical outputs
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Translate business questions into data analysis, model development, dashboards, and insights
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Communicate findings, model results, and recommendations clearly to technical and non-technical audiences
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Support senior team members in preparing business reviews, solution walkthroughs, and analytical recommendations
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Build solid working relationships across cross-functional teams to enable timely delivery
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Innovation & Capability Development
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Participate in experimentation and proof-of-concept development for emerging analytics, advanced AI, and War Room intelligence capabilities
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Identify opportunities to improve operational event analytics, incident intelligence workflows, and executive reporting outputs
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Develop reusable analytical assets, code templates, insight frameworks, and documentation to improve delivery efficiency
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Continuously learn new data science, AI, and analytics techniques relevant to operational intelligence, event response, and executive visibility
***ENGLISH PROFICIENCY ASSESSMENT WILL BE REQUIRED AFTER APPLICATION***
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.
Required Qualifications:
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3+ years of experience in Data Science, Analytics, Machine Learning, Artificial Intelligence, or related disciplines
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Hands-on experience with Python and analytics libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, or PyTorch
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Experience working with structured and unstructured data, including data preparation, feature engineering, and exploratory analysis
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Working knowledge of machine learning, statistical modeling, natural language processing, and model evaluation techniques
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Demonstrated ability to communicate analytical results, insights, and recommendations clearly to business and technical stakeholders
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Proven solid problem-solving skills, attention to detail, and ability to work effectively in a collaborative team environment
Preferred Qualifications:
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Experience in Customer Experience, Contact Center Quality, Customer Interaction Analytics, or Operational Excellence environments
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Experience with Databricks, Azure AI, Snowflake, or modern cloud analytics platforms
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Experience working in Agile delivery environments with cross-functional product, analytics, and technology teams
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Exposure to Voice Analytics, Speech Analytics, Quality Monitoring, Sentiment Analysis, and Conversational AI use cases
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Familiarity with LLMs, Generative AI, RAG concepts, prompt engineering, AI agents, and responsible AI practices
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
