Industrial Engineering Intern: AI & Process Optimization

Minority Professional Network, Inc.; Atlanta (GA); On-site; USD 25,000 - 39,000; Full time

Benefits offered by this job

401(k) retirement program

Personal time

Discounted Employee Stock Purchase ...

Job summary

UPS is seeking an Industrial Engineering Intern in Atlanta, GA. The role involves working on targeted projects with operational observations, data collection, cross-functional communication, and problem solving.

Projects will be presented to the Industrial Engineering staff upon completion. You will engage in work measurement, cost-benefit analyses, process improvement, and operational planning, with opportunities to explore AI, automation, and data analytics to boost efficiency and support

Qualifications

• 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

Responsibilities

• 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

Skills

Industrial Engineering

Statistical analysis

Research skills

Communication skills

Team collaboration

Independent work

Cross-functional communication

Education

Current student / recent graduate

Job description

UPS is seeking an Industrial Engineering Intern in Atlanta, GA. The role involves working on targeted projects with operational observations, data collection, cross-functional communication, and problem solving.

Projects will be presented to the Industrial Engineering staff upon completion. You will engage in work measurement, cost-benefit analyses, process improvement, and operational planning, with opportunities to explore AI, automation, and data analytics to boost efficiency and support