Data Scientist, Pharma Analytics & AI

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that is bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out

What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it?

We understand that you are looking for growth and variety in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We hire the best and trust them from day 1 to deliver global impact, handle teams and be responsible for the outcomes while our leaders support and mentor you.

We are a profitable rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fueled by purpose. The combination of these will lead to a truly differentiated experience for you.

• Develop and implement machine learning and advanced analytics solutions to address complex pharmaceutical and commercial business problems.
• Lead the development of time-series forecasting models, including demand, sales, patient, market, or other business forecasts.
• Analyze and synthesize diverse pharmaceutical and healthcare data sources to generate meaningful insights and support business decisions.
• Translate ambiguous business requirements into analytical frameworks, modeling approaches, and actionable recommendations.
• Build, validate, optimize, and deploy ML and forecasting models, ensuring appropriate performance evaluation and business interpretability.
• Work closely with clients and senior stakeholders to understand business objectives, communicate analytical findings, and translate model outputs into business recommendations.
• Serve as a key onshore point of contact, coordinating with clients and offshore teams to ensure effective communication, prioritization, and delivery.
• Own analytical work streams end-to-end, from problem definition and data exploration through model development, validation, insights generation, and presentation.
• Collaborate with cross-functional and global teams, including data scientists, data engineers, business analysts, and subject-matter experts.
• Stay current with emerging AI/ML techniques and technologies and identify opportunities to apply them to pharmaceutical analytics and business problems.
• Explore and contribute to AI-agent-based solutions where appropriate, including use cases involving Snowflake or Vertex AI.
• Continuously learn and adapt to new client requirements, technologies, datasets, and analytical challenges.
• Take increasing ownership of analytical work streams and help scale solutions across multiple pharmaceutical use cases and client engagements.
• Build and present executive-ready outputs, including analytical findings, model results, forecasts, visualizations, and recommendations.

• Bachelor’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Economics, or a related quantitative discipline. A master’s degree is a plus, but not mandatory.
• 3–4+ years of relevant experience in data science,…