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 perks 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.

Job Description

• As Associate Director, Data Science, this leader will manage and guide a team (or significant workstream) within the Payment Integrity Decision Intelligence (PIDI) Data Science and AIML Analytics India organization. The role focuses on executing data science and AI-led initiatives, delivering analytical excellence, and generating measurable business value across clinical and non-clinical payment integrity programs through a high-performing team of data scientists and AIML professionals




• The leader will foster a culture of innovation, scientific rigor, and continuous improvement while implementing best practices for model development, validation, monitoring, and performance optimization. They will collaborate closely with the Director and global analytics and data science teams
• Responsible for advancing PIDI analytical capabilities by leading the development, refinement, and deployment of predictive and prescriptive models that uncover actionable opportunities and drive measurable business outcomes, aligned with the broader team strategy

Primary Responsibilities

• Lead and manage a team of Data Scientists and AIML experts (or a major portfolio of initiatives), providing day-to-day direction, mentoring, coaching, and performance management to deliver AI, Machine Learning, and Advanced Analytics solutions that support payment integrity outcomes and business value
• Contr

📌 Principal Data Scientist (Noida)
🏢 Optum India
📍 Noida