Industrial Engineering Intern — AI, Data & Process Improvement

United Parcel Service, Inc.; Phoenix (AZ); On-site; USD 25,000 - 39,000; Full time

Benefits offered by this job

401(k) retirement program – eligible

Personal time

Discounted Employee Stock Purchase

Job summary

UPS, a Fortune Global 500 company, is seeking an Industrial Engineering Intern in Phoenix. You will work on targeted projects, perform data collection, and present results to the Industrial Engineering staff. The role emphasizes cross-functional collaboration and problem solving.

Responsibilities include process improvement, cost-benefit analysis, and applying AI, automation and analytics to operations. 40 hours per week, internship eligibility, and U.S. work authorization required.

Qualifications

• 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.

Responsibilities

• Projects include work measurement in MSD, cost-benefit analysis, and process improvement analysis.
• Support operational planning and data collection efforts.
• Explore and apply AI, automation, and data analytics tools to improve efficiency.

Skills

Industrial engineering

Statistical analysis

Research & communication

Creativity & dedication

Team collaboration

Cross-unit communication

Written & verbal skills

Education

Current student in a degreed college/university program

Job description

UPS, a Fortune Global 500 company, is seeking an Industrial Engineering Intern in Phoenix. You will work on targeted projects, perform data collection, and present results to the Industrial Engineering staff. The role emphasizes cross-functional collaboration and problem solving.

Responsibilities include process improvement, cost-benefit analysis, and applying AI, automation and analytics to operations. 40 hours per week, internship eligibility, and U.S. work authorization required.