Actively Hiring
OP
Senior AI/ML Engineer
Optum
HR
Skills:
Python
Feature Engineering
Job Description
Job Title: Senior AI/ML Engineer Company: Optum Job Category: Machine Learning Roles & Responsibilities: 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 Work Location: Haryana, India Availability: Full time
Requirements
Required Qualifications: * Degree in analytics, statistics, economics, engineering, computer science, or related field * 2 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. Key Skills: Python, Feature Engineering Salary: Not disclosed