Industrial Engineering Intern: AI & Data Analytics

United Parcel Service; Earth City (MO); In loco; USD 25.000 - 33.000; Tempo pieno

Vantaggi offerti da questo lavoro

401(k) retirement program

Personal time

Stock Purchase Program

Descrizione del lavoro

UPS, a Fortune Global 500 company, invites an Industrial Engineering Intern to contribute to targeted projects in data-driven operations. You will observe, collect data, collaborate across teams, and present findings to the Industrial Engineering staff upon completion.

This internship focuses on Work Measurement in MSD, cost-benefit analysis, process improvement, and applying AI, automation, and data analytics to boost efficiency.

Competenze

• Current student enrolled in a degreed college/university program or a recent graduate within the past 24 months.
• Willing to work 40 hours per week and relocate to the internship location if required.
• Strong analytical and communication skills; able to present findings clearly.

Mansioni

• Work on targeted projects individually or in small teams.
• Conduct operations observations, data collection, and cross-functional communication.
• Perform work measurement in Master Standard Data (MSD) and cost-benefit analyses.
• Present completed projects to the Industrial Engineering staff.
• Explore AI, automation, and data analytics tools to improve efficiency and support engineering initiatives.

Conoscenze

Industrial engineering

Statistical analysis

Research and communication

Team collaboration

Cross-functional communication

Formazione

Student or recent graduate (within 24 months)

Strumenti

AI tools

Data analytics tools

Descrizione del lavoro

UPS, a Fortune Global 500 company, invites an Industrial Engineering Intern to contribute to targeted projects in data-driven operations. You will observe, collect data, collaborate across teams, and present findings to the Industrial Engineering staff upon completion.

This internship focuses on Work Measurement in MSD, cost-benefit analysis, process improvement, and applying AI, automation, and data analytics to boost efficiency.