Industrial Engineering Intern: AI & Process Improvement

United Parcel Service

Dallas (TX)

On-site

USD 21,000 - 30,000

Full time

11 days ago

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Benefits offered by this job

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

Job summary

UPS is offering an Industrial Engineering Intern position in Dallas for students or recent graduates. The role involves working on targeted projects, with data collection, cross-functional communication, and problem solving.

Projects will be presented to the Industrial Engineering staff upon completion. Candidates will engage in work measurement, cost analyses, process improvements, and operational planning while exploring AI, automation, and data analytics tools to boost efficiency and support

Qualifications

  • Pursuing a degreed college/university program, or a recent graduate within 24 months.
  • Strong statistical analysis and research capabilities.
  • Excellent written, oral and interpersonal communication skills.
  • Able to work both collaboratively and independently.
  • Able to interact across business units with effective communication.

Responsibilities

  • Work Measurement in Master Standard Data (MSD).
  • Cost benefit analysis.
  • Process improvement analysis.
  • Operational planning.
  • Explore/apply AI, automation, and data analytics tools to improve efficiency.

Skills

Industrial Engineering knowledge
Statistical analysis
Research & communication
Teamwork & independence
Cross-functional communication
Written & verbal communication

Education

College/university student or recent graduate

Tools

AI tools

Job description

UPS is offering an Industrial Engineering Intern position in Dallas for students or recent graduates. The role involves working on targeted projects, with data collection, cross-functional communication, and problem solving.

Projects will be presented to the Industrial Engineering staff upon completion. Candidates will engage in work measurement, cost analyses, process improvements, and operational planning while exploring AI, automation, and data analytics tools to boost efficiency and support

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