Summer Industrial Engineering Intern – AI & Innovation

United Parcel Service, Inc.

Dallas (TX)

On-site

USD 28,000 - 34,000

Full time

14 days+

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Benefits offered by this job

401(k) retirement program – eligible
Personal time
Discounted Employee Stock Purchase

Job summary

United Parcel Service, Inc. invites applications for an Industrial Engineering Intern role in the Dallas area.

The position involves hands-on project work, including work measurement, data collection, and cross-functional communication to drive process improvements. Interns will explore AI, automation, and analytics tools to enhance operational efficiency, with opportunities to present findings to the Industrial Engineering staff upon project completion.

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 projects including work measurement in MSD, cost-benefit analysis, and process improvement.
  • Conduct operational planning and data collection while collaborating with cross-functional teams.
  • Explore AI, automation, and data analytics tools to improve operational efficiency and support engineering initiatives

Skills

Industrial Engineering
Statistical analysis
Research & communication
Team collaboration
Interpersonal skills

Education

Current student in degreed program or recent graduate

Job description

United Parcel Service, Inc. invites applications for an Industrial Engineering Intern role in the Dallas area.

The position involves hands-on project work, including work measurement, data collection, and cross-functional communication to drive process improvements. Interns will explore AI, automation, and analytics tools to enhance operational efficiency, with opportunities to present findings to the Industrial Engineering staff upon project completion.

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