Enterprise Transfer Intelligence Data Scientist - Remote

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together

The Enterprise Transfer Intelligence Data Scientist will play a key role in advancing the Contact Center Transformation (CCT) Transfer Reduction initiative by developing and operationalizing enterprise Transfer Intelligence capabilities. This role will leverage AI, machine learning, advanced analytics, statistical modeling, and large language models to identify, explain, predict, and reduce unnecessary transfers across the enterprise.

Working across call transcripts, routing data, authentication data, telephony platforms, operational metrics, and customer interaction data, this individual will transform complex data into actionable intelligence that helps leaders improve routing effectiveness, reduce avoidable handoffs, increase first-contact resolution, optimize contact center operations, and improve the overall customer experience.

This position is responsible for converting transfer intelligence into measurable business outcomes through advanced analytics, opportunity identification, decision-support products, and ongoing optimization efforts across multiple lines of business.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

• Transfer Intelligence & Opportunity Identification
  • Analyze transfer behavior across multiple lines of business to identify opportunities to reduce avoidable transfers
  • Conduct destination analysis to identify transfer hotspots, recurring transfer patterns, ineffective handoffs, and routing breakdowns
  • Identify and quantify drivers of multi-transfer, ping-pong, repeat-transfer, and incorrect-destination interactions
  • Evaluate relationships between transfers and authentication outcomes, routing design, agent skill alignment, business processes, technology limitations, and customer needs
  • Develop forecasting and scenario-modeling techniques to estimate the expected impact of potential transfer-reduction initiatives
  • Deliver prioritized recommendations that influence routing strategies, staffing decisions, training investments, operational processes, and technology improvements
• AI, Machine Learning & Advanced Analytics
  • Develop, maintain, and enhance advanced analytical models supporting enterprise transfer reduction efforts
  • Operationalize and continuously improve transfer root-cause analytics capabilities
  • Apply machine learning, natural language processing, large language models, and statistical techniques to analyze structured and unstructured datasets
  • Monitor analytical model performance, identify drift, evaluate accuracy, and recommend enhancements
  • Expand analytical solutions through integration of new data sources including call transcripts, routing activity, authentication outcomes, IVR interactions, queue behavior, and operational metrics
  • Refine classification taxonomies, prompts, business rules, and analytical frameworks to improve insight quality and business value
  • Research and evaluate emerging AI capabilities and determine how they can improve transfer analytics and opportunity identification
• Transfer Intelligence Product Development
  • Design, develop, and enhance enterprise Transfer Intelligence products and analytical solutions
  • Support the evolution of Transfer Genie, Databricks-based products, semantic layers, and AI-enabled self-service experiences
  • Develop reusable analytical assets, governed metrics, and scalable data products that support enterprise-wide transfer analysis
  • Partner with stakeholders to prioritize future product enhancements and identify new analytical capabilities
  • Translate complex analytical findings into intuitive and actionable business insights for technical and non-technical audiences
• Investigations & Performance Optimization
  • Lead analytical investigations related to transfer-rate changes, migration impacts, routing concerns, authentication trends, and operational performance issues
  • Analyze the impact of telephony, platform, and operational changes on transfer behavior
  • Validate transfer classifications, business rules, and reporting logic to ensure consistency and accuracy across reporting products
  • Identify the root causes of unexpected transfer trends and recommend remediation strategies
  • Partner with operations, product, and technology teams to evaluate the effectiveness of implemented solutions and identify additional optimization opportunities
• Impact Measurement & Business Outcomes
  • Measure and quantify the effectiveness of transfer-reduction initiatives
  • Establish methodologies to track business value and operational impact resulting from transfer intelligence recommendations
  • Assess the effectiveness of routing enhancements, authentication improvements, AI-enabled capabilities, technology investments, and process changes
  • Develop executive-ready narratives, presentations, and recommendations that connect analytical findings to business outcomes
  • Provide ongoing analytical support and recommendations to CCT leadership and Transfer Workstream stakeholders

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:

• Intermediate - advanced experience using SQL and Python to analyze large and complex datasets
• Intermediate - advanced experience applying statistical analysis, machine learning, predictive modeling, or artificial intelligence techniques to solve business problems
• Proven experience translating business challenges into analytical solutions and actionable recommendations
• Proven experience working with both structured and unstructured datasets
• Proven communication skills with the ability to explain complex analytical concepts to business stakeholders

Preferred Qualifications:

• Experience using Databricks, Azure, Snowflake, Power BI, or related analytics platforms
• Experience with large language models (LLMs), generative AI, prompt engineering, or NLP-based solutions
• Experience working with call transcripts, speech analytics, conversational AI, or customer interaction data
• Experience in contact center analytics, customer experience analytics, healthcare operations, or workforce optimization
• Experience designing and operationalizing analytical products used by business stakeholders
• Experience supporting enterprise transformation initiatives through advanced analytics

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 - $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

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.