Industrial Engineering Intern — AI & Data Analytics

UPS Supply Chain Solutions, Inc.; Charlotte (NC); 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

UPS Supply Chain Solutions, Inc. in Charlotte, NC is seeking an Industrial Engineering Intern to support targeted projects across operations. You will perform operational observations, collect data, and present results to the Industrial Engineering team, contributing to efficiency and process improvements.

Projects include work measurement, cost-benefit analysis, and applying AI, automation, and data analytics tools to optimize performance. Ideal for a current student in engineering programs.

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 Measurement in Master Standard Data (MSD).
• Cost benefit analysis.
• Process improvement analysis.
• Operational planning.
• Exploring and applying Artificial Intelligence (AI), automation, and data analytics tools to improve operational efficiency and support engineering initiatives.

Skills

Industrial Engineering

Statistical analysis

Research & communication

Creativity & dedication

Collaboration

Cross-functional comms

Written and interpersonal skills

Education

Current student or recent graduate

Job description

UPS Supply Chain Solutions, Inc. in Charlotte, NC is seeking an Industrial Engineering Intern to support targeted projects across operations. You will perform operational observations, collect data, and present results to the Industrial Engineering team, contributing to efficiency and process improvements.

Projects include work measurement, cost-benefit analysis, and applying AI, automation, and data analytics tools to optimize performance. Ideal for a current student in engineering programs.