Digital Quality Intern: Data-Driven Manufacturing

GE Vernova, Inc.; City of Schenectady (NY); On-site; USD 33,000 - 48,000; Full time

Benefits offered by this job

Relocation Assistance

Housing Allowance

Employee Assistance Program

GE Vernova Retirement Savings Plan

Job summary

GE Vernova, Inc. is seeking an Built-in Quality Digitalization Intern to drive data-driven quality initiatives, deploy scalable Industry 4.0 solutions, and improve real-time decision-making in manufacturing.

You will work cross-functionally to digitize quality checkpoints and enhance traceability. The role requires ongoing studies in engineering or related fields, familiarity with Power BI/Tableau, and basic programming (Python/SQL/VBA).

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Engineering, Computer Science, Data Analytics, Industrial Engineering, or a related field.
• Familiarity with data visualization tools (Power BI, Tableau).
• Basic programming knowledge (Python, SQL, or VBA).
• Excel and data manipulation skills; strong analytical mindset.
• Ability to work in the US for an unlimited amount of time without sponsorship.

Responsibilities

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

Skills

Data analytics

Power BI

Tableau

Python

SQL

VBA

Excel

Education

Bachelor's or Master's degree in Engineering, Computer Science, or Data Analytics

Tools

Power BI

Tableau

Excel

Python

SQL

VBA

Job description

GE Vernova, Inc. is seeking an Built-in Quality Digitalization Intern to drive data-driven quality initiatives, deploy scalable Industry 4.0 solutions, and improve real-time decision-making in manufacturing.

You will work cross-functionally to digitize quality checkpoints and enhance traceability. The role requires ongoing studies in engineering or related fields, familiarity with Power BI/Tableau, and basic programming (Python/SQL/VBA).