Summer Industrial Engineering Intern - AI, Data & Process

UPS Supply Chain Solutions, Inc.

Jacksonville (FL)

Presencial

USD 25 000 - 39 000

Tempo integral

Há 5 dias
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Currículo e carta de apresentação personalizados, prontos a enviar.

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Vantagens oferecidas por esta oferta de emprego

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

Resumo da oferta

UPS Supply Chain Solutions, Inc. is seeking an Industrial Engineering Intern to work on targeted projects, gather operational data, and collaborate with cross-functional teams.

Projects include data collection, MSD work measurement, cost-benefit analyses, and process improvements, with presentations to the Industrial Engineering staff upon completion. The role emphasizes applying AI, automation, and data analytics to improve efficiency and support engineering initiatives while providing hands-on

Qualificações

  • Current student enrolled in a degreed college/university program
  • Strong analytical and statistical skills
  • Effective written and oral communication and presentation abilities
  • Ability to work both collaboratively and independently
  • Wamiliar with data analytics and process improvement concepts

Responsabilidades

  • Assists in work measurement and data collection for Master Standard Data (MSD)
  • Performs cost-benefit analyses and identifies process improvements
  • Supports operational planning and uses AI, automation, and analytics tools to boost efficiency
  • Communicates findings clearly to cross-functional teams and engineers
  • Contributes to project presentations for Industrial Engineering staff

Descrição da oferta de emprego

UPS Supply Chain Solutions, Inc. is seeking an Industrial Engineering Intern to work on targeted projects, gather operational data, and collaborate with cross-functional teams.

Projects include data collection, MSD work measurement, cost-benefit analyses, and process improvements, with presentations to the Industrial Engineering staff upon completion. The role emphasizes applying AI, automation, and data analytics to improve efficiency and support engineering initiatives while providing hands-on

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