Manufacturing Quality Intern - Data & Process Improvement

A01098 GE Vernova International LLC

United States

On-site

USD 2,366,000 - 4,732,000

Full time

3 days ago
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Benefits offered by this job

Relocation assistance
Housing allowance
Employee Assistance Program

Job summary

GE Vernova offers an internship on the Schenectady Cores and Castings Team, contributing to advanced investment casting and quality initiatives. You will gain hands-on experience implementing the Zero Defect Framework and collaborate with engineers across quality, process, and product areas.

The role emphasizes learning inspection technologies, visual management, and AI/digitization efforts, with a focus on data tools, SPC, and QA practices.

Qualifications

  • Current enrollment in undergrad or graduate degree.
  • Pursuing a degree in Engineering, Industrial/Engineering Management, Data Analytics or related field.
  • Demonstrated academic achievement and interest in process improvement, technical problem solving and supply chain experience.

Responsibilities

  • Support BIQ framework on the shop floor with improved daily defect tracking and real-time problem solving.
  • Assist in visual management projects including MRB layout and tracking, Non-Conformance identification, Scrap containment, and Shipping submission and flow.
  • Work with Quality, Process, and Product engineers on trials for process improvements and new equipment installations.

Skills

Analytical skills
Teamwork
Communication
Data analytics
AI tools

Education

Undergrad/grad student in Engineering or Data Analytics

Tools

Excel
PowerPoint
MS Office

Job description

GE Vernova offers an internship on the Schenectady Cores and Castings Team, contributing to advanced investment casting and quality initiatives. You will gain hands-on experience implementing the Zero Defect Framework and collaborate with engineers across quality, process, and product areas.

The role emphasizes learning inspection technologies, visual management, and AI/digitization efforts, with a focus on data tools, SPC, and QA practices.

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