Lead Data Scientist

Optum India; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Optum India is seeking a senior data science leader to drive reporting governance, advanced analytics, and AI-enabled analytics across the organization. You will lead executive-level reporting, collaborate with senior stakeholders, and shape data quality and governance frameworks.

You will leverage Power BI/Tableau, SQL, Python, and AI technologies to deliver insights, predictive models, and storytelling that translates technical findings into business decisions.

Qualifications

• Bachelor's degree in data-related field or equivalent.
• 7+ years in data science, analytics, BI, or reporting.
• 5+ years building executive-level reporting and decision-support solutions.
• Experience with Power BI, Tableau, or similar BI platforms.
• Experience handling large, multi-source datasets and data governance.

Responsibilities

• Data governance, stewardship, and metric standardization.
• Advanced analytics including trend and predictive analyses.
• AI initiatives: generative AI, AI-assisted reporting, RAG and LLMs.
• Translate analytics findings into business insights for senior stakeholders.

Skills

SQL

Python

Data visualization

Power BI

Tableau

Executive reporting

Education

Bachelor's degree in Data Science / Analytics

Master's degree in Data Science / Analytics

Tools

Power BI

Tableau

SQL

Python

Databricks

Snowflake

Job description

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

• Reporting Governance
  • Data governance and stewardship
  • Metric standardization and control
  • Data quality management
  • Enterprise reporting architecture
• Advanced Analytics
  • Trend analysis
  • Predictive analytics
  • Statistical modeling
  • Insight generation and storytelling
• Artificial Intelligence
  • Generative AI applications
  • AI-assisted reporting
  • Conversational analytics
  • LLMs and Generative AI
  • Retrieval-Augmented Generation (RAG)
  • Semantic search
  • Conversational AI
  • AI agent workflows
  • Prompt engineering and evaluation
  • AI quality measurement
  • Responsible AI practices
  • Hallucination mitigation and grounding techniques
• 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 degree in Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering, Information Systems, or related field
• 7+ years of experience in data science, advanced analytics, business intelligence, reporting, or related disciplines
• 5+ years of experience developing executive-level reporting and decision-support solutions
• Experience with Power BI, Tableau, or comparable business intelligence platforms
• Experience working with large, complex datasets and multiple data sources
• Experience building reporting governance frameworks, metric definitions, and data quality processes
• Experience leveraging AI, machine learning, generative AI, or advanced automation technologies in analytics environments
• Advanced proficiency in SQL, Python and data analysis techniques
• Proven solid analytical and problem-solving skills with the ability to translate technical findings into business language
• Proven solid written and verbal communication skills with the ability to influence senior stakeholders

Preferred Qualifications

• Master's degree in Data Science, Analytics, Statistics, Business Analytics, Computer Science, or related field
• Lean Six Sigma Green Belt or Black Belt certification
• Experience supporting technology operations, IT service management, contact center operations, workforce management, or support services organizations
• Experience with ServiceNow, Amazon Connect, Microsoft Fabric, Databricks, Snowflake, or similar enterprise platforms
• Experience building predictive models, forecasting solutions, or advanced analytics applications
• Experience implementing AI-powered reporting, conversational analytics, or self-service business intelligence solutions

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.