Industrial Engineering Intern: AI, Data & Process Improvement

United Parcel Service, Inc.; Whites Creek (TN); On-site; USD 25,000 - 36,000; Full time

Benefits offered by this job

401(k) retirement program

Personal time

Discounted Employee Stock Purchase

Job summary

United Parcel Service, Inc. (UPS) is offering an Industrial Engineering Intern position to tackle real-world projects. You will conduct operational observations, data collection, and cross-functional communication to drive improvements.

Projects may be completed individually or in small teams and presented to staff after completion. The role emphasizes work measurement, cost-benefit analyses, process improvements, and strategic planning, with exposure to AI and data analytics tools to boost

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

• Work on targeted projects individually or in small teams
• Work Measurement in Master Standard Data (MSD)
• Cost benefit analysis
• Process improvement analysis
• Operational planning
• Exploring and applying AI, automation, and data analytics tools to improve operational efficiency and support engineering initiatives

Skills

Industrial Eng

Statistical analysis

Communication

Collaboration

Cross-functional comm

Interpersonal skills

Education

Enrolled student or recent grad

Tools

AI

Automation

Data analytics

Job description

United Parcel Service, Inc. (UPS) is offering an Industrial Engineering Intern position to tackle real-world projects. You will conduct operational observations, data collection, and cross-functional communication to drive improvements.

Projects may be completed individually or in small teams and presented to staff after completion. The role emphasizes work measurement, cost-benefit analyses, process improvements, and strategic planning, with exposure to AI and data analytics tools to boost