Intern – IBU Technology / AI & Software Engineering

The Eli Lilly interview process typically starts with a timed online aptitude test covering quantitative, logical and verbal reasoning. Shortlisted candidates face a technical interview focused on data structures, algorithms and basic AI/ML concepts, followed by an HR round that assesses cultural fit, communication skills and motivation. Preparation should include mock tests, coding practice on platforms like LeetCode, and reviewing past candidate experiences.

Eli Lilly Services India fosters a collaborative and inclusive environment where learning and innovation are encouraged. Employees enjoy a balanced work‑life schedule, robust mentorship programs, and clear pathways for career progression within a globally respected pharma leader.

Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering or related fields; minimum 60% CGPA or equivalent; expected graduation batch 2024‑2026; no active backlogs; strong academic record and analytical aptitude.

Round 1: Online Aptitude Test → Round 2: Technical Interview (coding & domain questions) → Round 3: HR Interview

Eli Lilly Services India Pvt Ltd is the Indian arm of Eli Lilly, a global pharmaceutical leader with a legacy of over 150 years in discovering, developing and delivering medicines that improve lives. In India, the company combines world‑class research capabilities with a strong focus on digital transformation, enabling faster drug development, supply‑chain efficiency and better customer engagement. The organization prides itself on a culture of scientific curiosity, collaboration across borders, and a commitment to diversity and inclusion, making it an attractive destination for young talent eager to make a tangible impact in healthcare technology. The IBU (International Business Unit) Technology team sits at the intersection of software engineering, artificial intelligence and product development. As an Intern, you will be immersed in real‑world projects that support global business solutions, ranging from proof‑of‑concept AI models to prototype digital tools that streamline internal processes. You will work side‑by‑side with seasoned engineers, product managers and data scientists, gaining exposure to end‑to‑end product lifecycles and the fast‑paced environment of a multinational corporation. **Key Responsibilities** 1. Conduct research and competitive benchmarking for emerging digital, software, and AI use cases. 2. Assist in developing, testing and validating proof‑of‑concept (POC) solutions. 3. Prepare, clean and analyse data sets; generate concise reports for innovation initiatives. 4. Contribute to software development tasks such as coding, debugging and prototyping. 5. Maintain project trackers, technical documentation and governance artifacts. 6. Support product teams in gathering requirements, exploring solutions and documenting user journeys. 7. Enable rapid turnaround for exploratory digital and AI opportunities across the IBU. 8. Collaborate with cross‑functional teams including engineering, product, quality and business stakeholders. 9. Participate in knowledge‑sharing sessions and present findings to senior leadership. 10. Stay updated with the latest trends in AI/ML, cloud platforms and data visualisation tools. **Tech Stack**: Python, React, JavaScript, SQL, Power BI, basic cloud services (AWS/Azure), Git, JIRA. **Growth Path**: Successful interns often receive full‑time offers, joining the IBU Technology team as Software Engineers or AI Analysts. The role provides a launchpad to work on high‑impact projects, mentorship from industry experts, and the possibility to rotate across product, data and engineering domains. **Why Join Eli Lilly**: You will be part of a purpose‑driven organization that values innovation, offers a collaborative global network, and invests heavily in employee development. The internship promises hands‑on experience, exposure to cutting‑edge technologies, and a chance to contribute to solutions that ultimately improve patient outcomes worldwide.