Industrial Engineering Intern: AI & Process Improvement

United Parcel Service, Inc.

Phoenix (AZ)

Presencial

USD 25.000 - 33.000

Tempo integral

Há 6 dias
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Benefícios oferecidos por esta vaga

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

Resumo da vaga

UPS is seeking an Industrial Engineering Intern in Phoenix, AZ to support targeted projects through operational observations and data collection. You will present results to the Industrial Engineering staff, collaborating with cross-functional teams.

You will work on work measurement, cost-benefit analysis and explore AI, automation and data analytics tools to enhance operational efficiency under supervision in a fast-paced environment.

Qualificações

  • Must be a U.S. Citizen or National, or authorized to work in the U.S.
  • Employer will not sponsor a visa for this or future positions.
  • Must be located in the internship location or willing to relocate
  • Current student enrolled in a degreed college/university program, or recent graduate within past 24 months
  • Must be available to work 40 hours per week

Responsabilidades

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

Conhecimentos

Industrial Engineering knowledge
Statistical analysis
Research and communication
Creativity and dedication
Teamwork and independence
Cross-business communication
Written and interpersonal skills

Formação

Current student enrolled in a degreed college/university program

Descrição da vaga

UPS is seeking an Industrial Engineering Intern in Phoenix, AZ to support targeted projects through operational observations and data collection. You will present results to the Industrial Engineering staff, collaborating with cross-functional teams.

You will work on work measurement, cost-benefit analysis and explore AI, automation and data analytics tools to enhance operational efficiency under supervision in a fast-paced environment.

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