Digital Quality & Lean Intern — Industry 4.0 Analytics

GE Vernova, Inc.; City of Schenectady, Northern (NY, KY); Hybrid; USD 33,000 - 48,000; Full time

Benefits offered by this job

Relocation Assistance

Housing Allowance

Employee Assistance Program

Retirement Savings Plan

Inclusion

Job summary

GE Vernova, Inc. is seeking a Built-in Quality Digitalization Intern in the United States.

The role focuses on driving digital quality initiatives by leveraging data analytics and automation to enhance traceability and real-time decision-making within manufacturing operations. The candidate will collaborate cross-functionally to digitize quality checkpoints, deploy scalable Industry 4.0 solutions, and embed proactive quality control into processes, with emphasis on data-driven improvements and

Qualifications

• Pursuing or completing a Bachelor's or Master's degree in a related field.
• Familiarity with data visualization tools (Power BI, Tableau).
• Basic programming knowledge (Python, SQL, or VBA).
• Experience with Excel and data manipulation.
• Strong analytical mindset with ability to interpret data sets.

Responsibilities

• Implement digital tools to improve first-time yield and reduce rework.
• Develop dashboards or analytics for quality performance insights.
• Increase process transparency and traceability through digital workflows.
• Contribute to a culture of proactive quality and continuous improvement.

Skills

Analytical thinking

Multitasking

Collaboration

Communication

Education

Bachelor's or Master's in Engineering/CS/Data Analytics/Industrial Engineering

Tools

Power BI

Tableau

Python

SQL

VBA

Job description

GE Vernova, Inc. is seeking a Built-in Quality Digitalization Intern in the United States.

The role focuses on driving digital quality initiatives by leveraging data analytics and automation to enhance traceability and real-time decision-making within manufacturing operations. The candidate will collaborate cross-functionally to digitize quality checkpoints, deploy scalable Industry 4.0 solutions, and embed proactive quality control into processes, with emphasis on data-driven improvements and