INTERNSHIP DETAILS

Tech@Lilly MQ Intern

CompanyEli Lilly and Company
LocationBengaluru
Work ModeOn Site
PostedFebruary 5, 2026
Internship Information
Core Responsibilities
The intern will support Lilly’s Manufacturing & Quality organization by leveraging data-driven insights and AI technologies to enhance operational performance and product quality. Key tasks include data collection and analysis, developing dashboards, and assisting in AI/ML model evaluation.
Internship Type
full time
Company Size
54503
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
We're a medicine company turning science into healing to make life better for people around the world. It all started nearly 150 years ago with a clear vision from founder Colonel Eli Lilly: "Take what you find here and make it better and better." Harnessing the power of biotechnology, chemistry and genetic medicine, our scientists are urgently advancing science to solve some of the world's most significant health challenges. General Information and Guidelines: When you engage with us on LinkedIn, you're agreeing to these Community Guidelines: https://e.lilly/guidelines. If you have questions about a Lilly medicine, contact The Lilly Answers Center at 1-800-Lilly-Rx (1-800-545-5979) Monday through Friday, excluding company holidays.
About the Role

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.

Role Overview

The Data, AI & Analytics Intern will support Lilly’s Manufacturing & Quality organization in leveraging data-driven insights and emerging AI technologies to enhance operational performance, product quality, and decision-making.

This role provides hands-on exposure to real-world manufacturing data, analytics tools, and use cases in a highly regulated pharmaceutical environment.

Key Responsibilities

  • Work with Manufacturing & Quality teams to understand business processes, data sources, and performance metrics

  • Collect, clean, and analyze structured and unstructured data from production, quality, and operations systems

  • Develop dashboards, reports, and visualizations to track key operational and quality KPIs

  • Support exploratory data analysis to identify trends, risks, and improvement opportunities

  • Assist in building or evaluating AI/ML models for:

    • Process optimization

    • Quality prediction and deviation analysis

    • Root cause analysis and anomaly detection

  • Document insights, methodologies, and recommendations clearly for business stakeholders

  • Present findings and outcomes at the end of the internship

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

#WeAreLilly
Key Skills
Data AnalysisAI TechnologiesMachine LearningData VisualizationDashboard DevelopmentQuality PredictionProcess OptimizationRoot Cause AnalysisAnomaly DetectionExploratory Data AnalysisPerformance MetricsData CleaningManufacturing ProcessesOperational PerformancePharmaceutical EnvironmentBusiness Processes
Categories
TechnologyHealthcareData & AnalyticsManufacturingScience & Research