Innovation
Are you passionate about innovation? Are you excited at the opportunity to electrify and decarbonize the world?
We operate with a founder’s mindset. We deliver innovation with passion, speed, and courage. We continuously challenge our thinking and are empowered to dream big and take smart risks.
What impact you’ll make
As a student of the advanced analytics team, Software and Controls Solutions, you will be an active contributor to improving energy companies’ plant efficiency and operation through predictive and prescriptive analytics.Job Description
What you’ll do (Job Responsibilities)
- Contribute to the design, implementation, and validation of algorithms that improve software alert relevance and operational efficiency.
- Collaborate with domain experts to validate detected patterns and ensure alignment with operational realities.
- Integrate algorithmic solutions with existing equipment monitoring platforms, ensuring scalability and robustness.
- Participate in the evaluation of algorithm performance using documented metrics such as false alarm reduction rates and pattern detection accuracy.
- Document all work clearly in accordance with project standards for reproducibility and knowledge sharing.
What you’ll bring (Basic Qualifications)
- Enrollment in a Bachelors, Masters, or PhD program in Computer Science, Data Science, Computer Engineering, or related field.
- Foundational knowledge in temporal pattern recognition, time-series analysis, or related ML techniques
- Experience with Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Ability to interpret technical documentation and contribute to collaborative software development projects.
What will make you stand out (Desired Qualifications)
- Prior experience with industrial sensor data, anomaly detection, or event classification.
- Familiarity with statistical analysis and clustering algorithms.
- Familiarity with Jupyter and cloud-based environments.
- Knowledge of version control systems (Git) and collaborative project tools (Confluence, Jira).
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No
For candidates applying to a U.S. based position only:
This posting is expected to remain open for at least seven days after it was posted on September 28, 2026.
U.S. Internship roles are ineligible for GE Vernova benefits.
Skills Required
- Enrollment in a Bachelor's, Master's, or PhD program in Computer Science, Data Science, Computer Engineering, or a related field
- Foundational knowledge of temporal pattern recognition, time-series analysis, or related machine learning techniques
- Experience with Python and machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
- Ability to interpret technical documentation and contribute to collaborative software development projects
- Experience with industrial sensor data, anomaly detection, or event classification
- Familiarity with statistical analysis and clustering algorithms
- Familiarity with Jupyter and cloud-based environments
- Knowledge of Git and collaborative project tools such as Confluence and Jira
GE Vernova Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Vernova and has not been reviewed or approved by GE Vernova.
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Retirement Support — The 401(k) plan includes company matching contributions and additional company retirement contributions, with access to Fidelity resources and financial planning consultants. Feedback suggests this structure supports long-term savings beyond a basic match.
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Parental & Family Support — Paid parental leave is available with flexible, continuous or non-continuous usage, and is complemented by adoption resources and Work/Life Connections guidance. Maternity leave is described as extended relative to typical workplace norms.
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Leave & Time Off Breadth — Time-off programs include 12 paid holidays, permissive time off for many salaried roles, and dedicated personal, illness, and caregiving time for U.S. new hires. Some hourly roles start with a defined PTO bank, while other roles may offer unlimited time off.
GE Vernova Insights
What We Do
GE Vernova is a planned purpose-built company on a mission to electrify the planet while simultaneously working to decarbonize it. If we want our energy future to be different…we must be different. Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. GE Vernova brings together GE’s portfolio of energy businesses including Power, Wind, Electrification and Digital businesses. With focus, GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Together, we have The Energy to Change the World.
Why Work With Us
Join our team, to evolve and grow, surrounded by some of the brightest minds in the industry who help you get better every day. You’ll get the chance to rewrite the rules, work on cutting-edge technology, and be part of a global team for positive change.
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