The Role
Design, build, and deploy ML, AI, and Generative AI solutions for healthcare problems. Analyze large structured and unstructured data, develop predictive and NLP models, create data pipelines, ensure data quality and compliance, monitor model performance, present insights, and mentor teammates.
Summary Generated by Built In
Requisition Number: 2375471
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.
Primary Responsibilities:
Required Qualifications:
Preferred Qualifications:
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.
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.
Primary Responsibilities:
- Design, develop, and deploy Machine Learning, AI, and Generative AI solutions to solve complex healthcare and provider business problems
- Analyze large-scale structured and unstructured data to generate actionable insights, predictions, and recommendations
- Build and optimize predictive models, NLP solutions, and LLM-powered applications to improve platform intelligence and automation
- Collaborate with product owners, engineers, architects, and business stakeholders to translate requirements into data-driven solutions
- Develop data pipelines, perform feature engineering, and ensure data quality, governance, and regulatory compliance
- Evaluate, monitor, and continuously improve model performance, accuracy, and scalability in production environments
- Present insights and recommendations through dashboards, reports, and visualisations to support strategic decision-making
- Mentor team members and contribute to innovation by identifying new AI/ML opportunities that drive measurable business outcomes for the ICP platform
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
- 3+ years of experience in Data Science, Machine Learning, Advanced Analytics, or AI/ML solution development
- Hands-on experience with cloud platforms (Azure/AWS), data engineering concepts, and big data technologies such as Spark or Hadoop
- Solid proficiency in Python, SQL, statistical analysis, machine learning algorithms, and data modelling techniques with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and exposure to Generative AI and Large Language Models (LLMs)
- Proven solid analytical, problem-solving, and stakeholder communication skills, with the ability to translate business challenges into data-driven solutions
Preferred Qualifications:
- Certifications:
- Microsoft Azure AI Engineer Associate / Azure Data Scientist Associate
- Databricks Data Scientist Associate
- AWS Machine Learning Specialty
- GenAI/LLM-related certifications
- Experience working with healthcare, provider, claims, or enterprise data domains
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.
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
- 3+ years of experience in Data Science, Machine Learning, Advanced Analytics, or AI/ML solution development
- Hands-on experience with cloud platforms (Azure, AWS), data engineering concepts, and big data technologies such as Spark or Hadoop
- Proficiency in Python, SQL, statistical analysis, machine learning algorithms, and data modeling techniques
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and exposure to Generative AI and Large Language Models (LLMs)
- Proven analytical, problem-solving, and stakeholder communication skills
- Microsoft Azure AI Engineer Associate / Azure Data Scientist Associate certification
- Databricks Data Scientist Associate certification
- AWS Machine Learning Specialty certification
- GenAI/LLM-related certifications
- Experience working with healthcare, provider, claims, or enterprise data domains
Optum Compensation & Benefits Highlights
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Healthcare Strength — Official materials highlight copay and HSA medical plan choices with in‑network preventive care at 100%, prescription coverage, and low/no‑cost virtual visits, plus company HSA contributions. Dental preventive services are 100% in network, and mental health resources include an EAP and premium Calm access.
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Parental & Family Support — Programs include six weeks paid parental leave, up to two weeks paid caregiver leave, and Bright Horizons back‑up care with enhanced family supports. Adoption assistance up to $10,000 for full‑time employees reinforces family‑oriented benefits.
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Equity Value & Accessibility — Financial benefits include an Employee Stock Purchase Plan at a 10% discount, expanding access to equity ownership.
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The Company
What We Do
Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
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Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.
Typical time on-site:
Not Specified
