Industrial Engineering Intern: AI & Process Optimization

UPS

Jacksonville (FL)

On-site

USD 25,000 - 39,000

Part time

7 days ago
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Benefits offered by this job

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

Job summary

UPS is seeking an Industrial Engineering Intern to contribute to targeted projects focused on data collection, observations, and problem solving. You will collaborate with teams and present findings to staff upon completion.

Responsibilities include work measurement, cost-benefit analysis, process improvements, and operational planning while exploring AI and data analytics to boost efficiency. Ideal for current students or recent grads located in the U.S.

Qualifications

  • Knowledge of Industrial Engineering or 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 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 operational efficiency and support engineering initiatives.

Skills

Industrial engineering
Statistical analysis
Research and communication
Enthusiasm and creativity
Team collaboration and independence
Interpersonal communication

Education

Student enrolled in degreed program OR recent graduate (≤24 months)

Job description

UPS is seeking an Industrial Engineering Intern to contribute to targeted projects focused on data collection, observations, and problem solving. You will collaborate with teams and present findings to staff upon completion.

Responsibilities include work measurement, cost-benefit analysis, process improvements, and operational planning while exploring AI and data analytics to boost efficiency. Ideal for current students or recent grads located in the U.S.

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