AI PhD Discovery Data Science Internship at Eli Lilly and Company

Candidates must be currently enrolled in school as a PhD student with at least three years of completed graduate work in Statistics, Computer Science, Electrical and Computer Engineering, Operations Research, Mathematics/Applied Math, or a closely related field.

Desired experience includes deep knowledge of statistical modeling, natural language processing, machine learning, deep learning, computer vision, image analysis, and data mining methods and tools, along with proficiency in analytic tools like R, Python, and C++.

Key soft skills include interpersonal communication for effective customer consultation, teamwork and leadership skills, and self-management skills with a focus on results for timely completion of deliverables.

Interns receive various activities including sporting events, dinners, lunch and learns for socializing and professional development, and all interns are considered for full-time positions based on performance and business need.

Strong candidates bring an insatiable desire to learn, innovate, and challenge themselves, stay current with statistical and AI advances, demonstrate zeal in applying analytics to business needs, and show teamwork with a focus on results.