Industrial Engineering Intern: AI & Process Improvement

United Parcel Service, Inc.

Charlotte (NC)

In loco

USD 28.000 - 34.000

Tempo pieno

14 giorni+

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Vantaggi offerti da questo lavoro

401(k) retirement program
Personal time
Employee stock purchase program

Descrizione del lavoro

United Parcel Service, Inc. is seeking an Industrial Engineering Intern to support targeted projects within our operations.

The role involves observational work, data collection, cross-functional communication, and presenting results to the Industrial Engineering team. The internship offers exposure to work measurement, cost-benefit analysis, process improvement, operational planning, and the application of AI, automation, and data analytics to boost efficiency.

Competenze

  • Knowledge of Industrial Engineering or related discipline
  • Strong statistical analysis skills
  • Effective research and communication abilities
  • Enthusiasm, creativity and dedication to getting results
  • Ability to collaborate and work independently
  • Ability to interact across business units
  • Excellent written, oral, and interpersonal skills

Mansioni

  • Work Measurement in Master Standard Data (MSD)
  • Cost benefit analysis
  • Process improvement analysis
  • Operational planning
  • Exploring and applying AI, automation, and data analytics to improve efficiency

Conoscenze

Industrial engineering knowledge
Statistical analysis
Research and communication
Creativity and dedication
Collaborative and independent work
Cross-functional communication
Written and interpersonal skills

Formazione

Current student in degree program
Recent graduate within 24 months

Descrizione del lavoro

United Parcel Service, Inc. is seeking an Industrial Engineering Intern to support targeted projects within our operations.

The role involves observational work, data collection, cross-functional communication, and presenting results to the Industrial Engineering team. The internship offers exposure to work measurement, cost-benefit analysis, process improvement, operational planning, and the application of AI, automation, and data analytics to boost efficiency.

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