Industrial Engineering Intern: AI-Driven Process & Efficiency

GSV UPS General Services; Utah; Presencial; USD 28.000 - 34.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

401(k) retirement program – eligible

Personal time

Discounted Employee Stock Purchase

Descripción de la vacante

UPS in Utah is seeking an Industrial Engineering Intern to support projects on work measurement, cost-benefit analysis, and process improvements. You will apply data analytics, observe operations, and present findings to the IE staff.

As an intern, you will collaborate with cross-functional teams, gain exposure to AI and automation initiatives, and develop practical engineering skills while contributing to operational efficiency.

Formación

• Knowledge of Industrial Engineering and/or Engineering 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.

Responsabilidades

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

Conocimientos

Industrial Engineering Principles

Data Analysis

Statistical Methods

Communication Skills

Team Collaboration

Cross-functional Interaction

Problem Solving

Educación

Current student enrolled in a degreed college/university program

Descripción del empleo

UPS in Utah is seeking an Industrial Engineering Intern to support projects on work measurement, cost-benefit analysis, and process improvements. You will apply data analytics, observe operations, and present findings to the IE staff.

As an intern, you will collaborate with cross-functional teams, gain exposure to AI and automation initiatives, and develop practical engineering skills while contributing to operational efficiency.