Digital Quality & Lean Intern: Industry 4.0 & Analytics

LS3002 GE Vernova Operations LLC

United States

On-site

USD 29,000 - 48,000

Full time

4 days ago
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Benefits offered by this job

Relocation assistance
Housing allowance
Employee Assistance Program
Retirement Savings Plan

Job summary

GE Vernova invites a Built-in Quality Digitalization Intern to drive data analytics and automation for digital quality checkpoints. You will collaborate cross-functionally to digitize quality controls and deploy scalable Industry 4.0 solutions in manufacturing operations.

You will work on dashboards, data visualization, and basic scripting to support real-time decision making, process traceability, and proactive quality improvements while pursuing a degree in a related field.

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).
  • Experience with Excel and data manipulation techniques.
  • Strong analytical mindset with the ability to interpret complex data sets.

Responsibilities

  • Implement digital tools to improve first-time yield and reduce rework.
  • Develop dashboards/analytics providing actionable quality insights.
  • Increase process transparency and traceability via digital workflows.
  • Contribute to a culture of proactive quality and continuous improvement.

Skills

Analytical mindset
Self-motivated
Time management

Education

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

Tools

Power BI
Tableau
Python
SQL
VBA
Excel

Job description

GE Vernova invites a Built-in Quality Digitalization Intern to drive data analytics and automation for digital quality checkpoints. You will collaborate cross-functionally to digitize quality controls and deploy scalable Industry 4.0 solutions in manufacturing operations.

You will work on dashboards, data visualization, and basic scripting to support real-time decision making, process traceability, and proactive quality improvements while pursuing a degree in a related field.

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