Senior AI/ML Engineer
Reads like a Data Scientist role: models and experiments.
Gurgaon, Haryana
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingAnalyze multi-source healthcare data to find trends and drivers across cost, quality and growth
Turn analysis into decision-ready recommendations with quantified business impact
Support data exploration, feature engineering and model development
Build reusable analytical assets, frameworks and best practices for the COE
Present insights through storytelling tailored to executive and operational audiences
From the employer’s posting
Analyze complex, multi-source healthcare data to identify trends, drivers, and opportunities for improvement across cost, quality, and growth
Synthesize findings into clear, decision-ready recommendations with a solid 'so what' and quantified business impact
Support end-to-end analytical delivery, including data exploration, feature engineering, model development (as applicable)
Contribute to development of reusable analytical assets, frameworks, and best practices that scale impact across the COE
Communicate insights through compelling storytelling tailored to executive and operational audiences
What you’ll bring
All qualificationsCore experience
- Degree in analytics, statistics, economics, engineering, computer science, or related field
- 6+ years of experience in analytics, strategy, or data-driven problem solving
- Experience working with large, complex datasets including data extraction, transformation, and analysis (SQL, Python, or similar tools)
- Experience translating data into insights and recommendations for business or operational stakeholders
- Experience communicating findings clearly to both technical and non-technical audiences
- Experience working in a cross-functional, matrixed environment
Preferred experience
- Experience in healthcare analytics (claims, financial, or operational data)
- Experience building dashboards or data products (Power BI, Tableau, etc.)
- Experience identifying and quantifying business impact (ROI, cost savings, revenue growth)
- Demonstrated ability to influence stakeholders and drive adoption of recommendations
Qualification wording
Degree in analytics, statistics, economics, engineering, computer science, or related field
6+ years of experience in analytics, strategy, or data-driven problem solving
Experience working with large, complex datasets including data extraction, transformation, and analysis (SQL, Python, or similar tools)
Experience translating data into insights and recommendations for business or operational stakeholders
Experience communicating findings clearly to both technical and non-technical audiences
Experience working in a cross-functional, matrixed environment
Experience in healthcare analytics (claims, financial, or operational data)
Experience building dashboards or data products (Power BI, Tableau, etc.)
Experience identifying and quantifying business impact (ROI, cost savings, revenue growth)
Demonstrated ability to influence stakeholders and drive adoption of recommendations
Tools in this posting
- Python
- SQL
- Azure
- Databricks
- Power BI
- Tableau
Source — Tool mentions in context
- 6+ years of experience in analytics, strategy, or data-driven problem solving - Experience working with large, complex datasets including data extraction, transformation, and analysis (SQL, Python, or similar tools) - Experience translating data into insights and recommendations for business or operational stakeholders
- Experience identifying and quantifying business impact (ROI, cost savings, revenue growth) - Exposure to cloud-based data and analytics platforms and infra services. (Azure, Databricks, etc.) - Demonstrated ability to influence stakeholders and drive adoption of recommendations
- Experience in healthcare analytics (claims, financial, or operational data) - Experience building dashboards or data products (Power BI, Tableau, etc.) - Experience identifying and quantifying business impact (ROI, cost savings, revenue growth)
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 23, 2026 · 2 days ago
- Recorded sightings
- 19
- Last seen by us
- Oct 25, 2026
- Reposted
- once since Oct 3, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.
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Job description
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:
- Apply structured, hypothesis-driven problem solving to translate business questions into analytical approaches and clear insights
- Analyze complex, multi-source healthcare data to identify trends, drivers, and opportunities for improvement across cost, quality, and growth
- Synthesize findings into clear, decision-ready recommendations with a solid 'so what' and quantified business impact
- Partner with stakeholders in a matrixed COE environment to shape problem statements, align on priorities, and drive adoption of insights
- Communicate insights through compelling storytelling tailored to executive and operational audiences
- Identify and prioritize opportunities for optimization
- Support end-to-end analytical delivery, including data exploration, feature engineering, model development (as applicable), and results interpretation
- Collaborate with data engineering and data platform teams to ensure data availability, quality, and usability for analytics use cases
- Contribute to development of reusable analytical assets, frameworks, and best practices that scale impact across the COE
- Ensure analytical outputs are accurate, reliable, and aligned to business context, with clear assumptions and limitations
- Continuously improve analytic approaches, streamline processes, and reduce low-value or redundant work
- Support the development of data-driven decision making by educating stakeholders and promoting evidence-based practices
- Works with less structured, more complex issues
- Serves as a resource to others
Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements
Required Qualifications:
- Degree in analytics, statistics, economics, engineering, computer science, or related field
- 6+ years of experience in analytics, strategy, or data-driven problem solving
- Experience working with large, complex datasets including data extraction, transformation, and analysis (SQL, Python, or similar tools)
- Experience translating data into insights and recommendations for business or operational stakeholders
- Experience communicating findings clearly to both technical and non-technical audiences
- Experience working in a cross-functional, matrixed environment
- Proven solid analytical thinking with the ability to structure ambiguous problems and identify key drivers
Preferred Qualifications:
- Experience in healthcare analytics (claims, financial, or operational data)
- Experience building dashboards or data products (Power BI, Tableau, etc.)
- Experience identifying and quantifying business impact (ROI, cost savings, revenue growth)
- Exposure to cloud-based data and analytics platforms and infra services. (Azure, Databricks, etc.)
- Demonstrated ability to influence stakeholders and drive adoption of recommendations
- Demonstrated solid storytelling and presentation skills, particularly for executive audiences
- Demonstrated desire to continuously learn, challenge assumptions, and improve how analytics drives business outcomes
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.
Source details
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- Pay
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- Location & working pattern
Gurgaon, Haryana
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