Junior Data Scientist - Energy Analytics & ML

A01098 GE Vernova International LLC; South Carolina; On-site; USD 70,000 - 106,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Discretionary annual bonus

Relocation assistance

Job summary

GE Vernova is seeking an entry-level Data Scientist to partner with engineers and product teams, framing problems and preparing data for modeling. You will build and evaluate models, communicate results, and contribute to practical, rigorously-tested solutions in energy and industrial contexts.

The role targets a recent graduate with strong fundamentals and applied project work, offering exposure to renewables, data governance, and responsible AI practices within a large energy company.

Qualifications

• Bachelor's degree completed by the start date in Data Science, Statistics, Mathematics, Computer Science, Engineering, Operations Research, Physics or related field.
• Foundational knowledge of statistics, probability, experimental design and ML concepts.
• Hands-on experience with Python or R through coursework, research, internships, or projects.
• Experience with data analysis and visualization tools such as pandas, NumPy, scikit-learn, SQL, Jupyter, matplotlib, seaborn, Power BI or equivalents.
• Ability to explain technical work clearly to both technical and non-technical audiences.
• Demonstrated problem-solving, collaboration, attention to detail and willingness to learn.

Responsibilities

• Frame analytical problems with stakeholders and define success criteria.
• Explore, clean, join and validate datasets; document assumptions and data quality issues.
• Build baseline and advanced models using statistics, ML, optimization or time-series methods.
• Compare models using performance metrics and assess uncertainty and robustness.
• Create visualizations, notebooks and presentations to explain methods and findings.
• Collaborate with Data Engineers and AI Engineers to move analyses toward repeatable solutions.
• Follow reproducible workflows and protect confidential information.

Skills

Statistics knowledge

Experiment design

Communication skills

Problem solving

Data interpretation

Education

Bachelor's degree in Data Science or related quantitative field

Tools

Python

R

SQL

Jupyter

Job description

GE Vernova is seeking an entry-level Data Scientist to partner with engineers and product teams, framing problems and preparing data for modeling. You will build and evaluate models, communicate results, and contribute to practical, rigorously-tested solutions in energy and industrial contexts.

The role targets a recent graduate with strong fundamentals and applied project work, offering exposure to renewables, data governance, and responsible AI practices within a large energy company.