AI & Process Improvement Intern (Summer 2027)

Metallus; Canton (OH); On-site; USD 26,174 - 45,460; Full time

Benefits offered by this job

Competitive hourly pay

Housing options

Wellness center access

Real-world experience

Casual work environment

Career workshops

Social activities

Networking with leadership

Job summary

Metallus is seeking a Summer 2027 Intern to join our analytics team in Canton, OH. You will participate in AI and advanced analytics projects, performing data preparation, analysis, and visualization while learning our manufacturing processes.

You’ll support continuous improvement initiatives across operations, using data to identify opportunities in OEE, delays, throughput, quality and cost, and present findings at the program’s end.

Qualifications

• Minimum cumulative GPA of 2.5.
• Must have completed 30+ credit hours by Spring 2027.
• Must be a full-time student at an accredited two- or four-year college.
• Preferred majors: Manufacturing/Industrial Engineering, Data Analytics, CS, Statistics or related.
• Exposure to Lean, Six Sigma, or continuous improvement concepts.
• Coursework or experience in AI, ML, or data science.

Responsibilities

• Assist with AI and advanced analytics projects, including data preparation, analysis, and visualization.
• Support continuous improvement and process optimization projects within manufacturing operations.
• Use manufacturing, reliability, and operational data to identify improvement opportunities related to OEE, delays, throughput, quality, and cost.
• Present findings, insights, and recommendations at the conclusion of the internship.

Skills

Data analytics

AI concepts

Continuous improvement

Data visualization

Education

Full-time student

Two-year or four-year college

GPA 2.5+

30+ credit hours by Spring 2027

Job description

Metallus is seeking a Summer 2027 Intern to join our analytics team in Canton, OH. You will participate in AI and advanced analytics projects, performing data preparation, analysis, and visualization while learning our manufacturing processes.

You’ll support continuous improvement initiatives across operations, using data to identify opportunities in OEE, delays, throughput, quality and cost, and present findings at the program’s end.