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Undergraduate -LM TS/MS - Data Science/Statistics en Lilly

Lilly · Kinsale, Irlanda · Onsite

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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.

Eli Lilly Kinsale Undergraduate 2026  

  

Undergraduate - LM TS/MS - Data Science/Statistics 

Desired Start Date: January/April 2026  

Desired End date: August 2026  

This is a full time on site position based in Kinsale.  

 

Eli Lilly and Company is a world-leading medicine company that unites caring with discovery to create medicines for millions of people around the world. 

The Kinsale manufacturing campus, located in Dunderrow, near Kinsale, Co. Cork is home to over 1,250 employees, and every year, we welcome undergraduates from third level institutions across the country to Learn by Experience, to Advance your Potential– LEAP @ Lilly. 

We offer Undergraduate placement opportunities across multiple functions within the business, to give university students real life experience of their chosen course. 

LEAP @ Lilly is our Undergraduate Development Programme to support you along the way. 

 

About the Role: 

The Student Placement provides support to the LM Technical Services and Manufacturing Science Group (TS/MS). TS/MS are responsible for providing technical support for existing manufacturing processes as well as support for commercialization and technology transfer of new processes into the Operations/Manufacturing Environment. The student will actively work in the Business Processes & Validation Group (BPV) supporting an array of data analysis, platform development/implementation and project work. During the placement the student will be exposed to a variety of roles and functions while working as part of a cross functional team. These may include but are not limited to online Operational Support, Process Safety, Quality, Regulatory, Deviation Management and Investigation and Project Work. Working alongside the TS/MS Team will enable the student to employ their existing knowledge and to expand it further. You will also participate in training, field tours, volunteer activities and networking events that will enhance your learning and development. 

 

Responsibilities include: 
• Duties will include practical  hands on involvement in supporting data analytics and/or statistics-based tasks and any project specific activities as appropriate. Other activities will be flagged as required and directed by supervising staff. 

• Work on challenging projects within the TS/MS function. Work as part of a cross functional process team. You will work alongside experienced professionals who will mentor and guide you throughout your placement. 

 

Requirements  
• Strong organizational skills and attention to detail; 
• Excellent verbal and written English language skills; 
• Excellent computer skills and proficiency in Microsoft Office Suite, especially Excel 
• Ability to communicate effectively across all levels of the organization; 
• Some base knowledge of FDA cGMPs and other applicable regulations 
• BSc. degree in Data Science/Statistics/Computing or similar 

 

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.

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