2027 Americas Region Industrial Engineering Summer Intern

UPS Supply Chain Solutions

52d • Onsite

About The Position

This role delivers insights that optimize today's UPS network and shape tomorrow's innovations. Participants will work on high-impact projects involving quantitative logistics modeling, advanced analytics, data visualization, and storytelling to support Industrial Engineering initiatives and drive measurable business results. Projects are aligned with individual skills, strengths, and interests, allowing team members to build expertise while making a meaningful impact on the UPS network.

Requirements

• Knowledge of Industrial Engineering and/or Engineering related discipline
• Effective statistical analysis skills
• Effective research and communication skills
• Enthusiasm, idealism, creativity and dedication to getting results
• Ability to work collaboratively and independently
• Ability to interact and communicate effectively across business units
• Excellent written, oral, and interpersonal skills
• Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer
• Employer will not sponsor a visa for this or future positions
• Must be currently located in the same geographic location as the internship or willing to relocate yourself
• Current student enrolled in a degreed college/university program, or recent graduate from a degreed college/university program within the past 24 months
• Must be available to work 40 hours per week.
• Must be currently located in the same geographic location as the job or willing to relocate yourself

Responsibilities

• Develops analytical models and data visualizations to drive analytic insights.
• Interacts with cross-functional teams to model current operations processes and evaluate potential solutions.
• Presents data insights and recommendations to key stakeholders utilizing process improvement analysis
• Exploring and applying Artificial Intelligence (AI), automation, and data analytics tools to improve operational efficiency and support engineering initiatives

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Associate degree