Industrial Engineering Intern: Data, AI & Process Optimization

UEC; Portland (OR); On-site; USD 36,000 - 48,000; Full time

Benefits offered by this job

401(k) retirement program eligibility

Personal time off

Discounted Employee Stock Purchase

Job summary

UEC in Portland, Oregon, seeks an intern to support operational analysis and engineering initiatives. You will engage in data collection, observations, and cross-functional communication on targeted projects, and perform cost-benefit analyses and process improvements.

The role emphasizes applying AI, automation, and analytics tools to boost efficiency and support engineering efforts. Open to current students or recent grads within the last 24 months, with ability to relocate and work 40 hours

Qualifications

• Knowledge of Industrial Engineering and related disciplines.
• Effective statistical analysis skills.
• Strong research and communication skills.
• Enthusiasm, idealism, creativity, and dedication to achieving results.
• Ability to work collaboratively and independently.
• Ability to interact and communicate effectively across business units.
• Excellent written, oral, and interpersonal skills.

Responsibilities

• Work on targeted projects individually or in small teams involving operational observations, data collection, cross-functional communication, and problem solving.
• Conduct work measurement in Master Standard Data (MSD).
• Perform cost benefit analysis.
• Analyze process improvements.
• Participate in operational planning.
• Explore and apply AI, automation, and data analytics tools to improve operational efficiency and support engineering initiatives.

Skills

Industrial Engineering

Statistics

Communication

Teamwork

Independent work

Job description

UEC in Portland, Oregon, seeks an intern to support operational analysis and engineering initiatives. You will engage in data collection, observations, and cross-functional communication on targeted projects, and perform cost-benefit analyses and process improvements.

The role emphasizes applying AI, automation, and analytics tools to boost efficiency and support engineering efforts. Open to current students or recent grads within the last 24 months, with ability to relocate and work 40 hours