Business Insights & Analytics Data Scientist Intern

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life‑changing medicines, strengthen how health is understood and managed, and support the communities we serve.

This is hard, urgent, selfless work—it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life‑changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first.

We’re looking for people who are determined to make life better for people around the world.

You will be part of a growing team of data science professionals with experience ranging across the analytical disciplines. The team’s main goal is to help our marketing, finance, and business leadership partners improve patient lives through advanced data analytics.

• Collaborating with commercial teams to identify, scope, and execute analytic efforts that answer business questions, solve business needs, and add business value.
• Examples include estimating marketing channel effectiveness, improving customer engagement and identifying barriers to care.
• Suggesting innovations to current approaches and possible future projects.
• Communicating insights to empower key stakeholders to inform decision‑making.
• Maintaining a broad understanding of sales and marketing and being fully engaged with business teams, bringing an objective voice to the table, and facilitating decisions grounded in data.
• Engaging with other analytics team members to review and provide feedback on the analytics work being done, and be willing to seek feedback from other team members about your own work.
• Staying current with respect to data science methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.

Pursuing a PhD in Statistics, Economics, Computer Science, Operations Research, Finance, Mathematics or other related quantitative field. Qualified applicants must be authorized to work in the United States on a full‑time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F‑1 CPT, F‑1 OPT, F‑1 STEM OPT, J‑1, H‑1B, TN, O‑1, E‑3, H‑1B1, or L‑1.

• Proficiency in at least one analytical programming tool (Python or R)
• Prior experience using AI tools (e.g., generative AI platforms, automation tools, or AI‑assisted research/analytics tools) in an academic, project, or work setting.
• Competency in standard database concepts and ability to directly query and join tables via code (e.g., SQL, Tidyverse, Pandas)
• Research experience in one or more of the following:
  • Machine Learning/Artificial Intelligence
  • Non‑linear Dimension reduction
  • Clustering and other unsupervised techniques
  • Computer Vision
  • Causal AI/inference
  • Time Series (multivariate and ML approaches preferred)
  • Survival Analysis
  • Natural Language Processing
• Strong analytical skills coupled with business acumen, and an ability to think strategically in an ambiguous environment
• Experience with healthcare data is a plus.
• Excellent communication (written & verbal), interpersonal influencing skills and prioritization skills with attention to detail
• Ability to translate technical work for business partners.

As part of Lilly’s commitment to innovation, interns will…