Digital Quality & Lean Intern – Industry 4.0

gevernova; City of Schenectady (NY); On-site; USD 33,000 - 48,000; Part time

Benefits offered by this job

Relocation Assistance

Housing Allowance

Employee Assistance Program

Retirement Savings Plan

Job summary

GE Vernova is seeking a Built-in Quality Digitalization Intern in the United States (New York area) to drive digital quality initiatives. You will leverage data analytics and automation to improve process traceability and enable real-time decision-making, collaborating across functions to digitize quality checkpoints and deploy Industry 4.0 solutions within manufacturing operations.

The role involves creating dashboards, improving first-time yield, and promoting proactive quality and continuous

Qualifications

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

Responsibilities

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

Skills

Data analysis

Attention to detail

Multi-tasking

Education

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

Tools

Power BI

Tableau

Python

SQL

VBA

Excel

Job description

GE Vernova is seeking a Built-in Quality Digitalization Intern in the United States (New York area) to drive digital quality initiatives. You will leverage data analytics and automation to improve process traceability and enable real-time decision-making, collaborating across functions to digitize quality checkpoints and deploy Industry 4.0 solutions within manufacturing operations.

The role involves creating dashboards, improving first-time yield, and promoting proactive quality and continuous