Pacific Gas and Electric Company is seeking a Data Scientist Intern to help develop and deploy system performance monitoring tools using operational datasets from the electric grid. The role involves collaborating with the System Performance Monitoring team to manage data, develop models, and create visualizations to support engineering decisions.
Assist in collecting, cleaning, and integrating datasets and help build simple data pipelines from internal sources to support analytics and operational insights
Support the development, testing, and maintenance of statistical or machine learning workflows by learning team tools and cloud platforms (e.g., Foundry, AWS) under guidance from senior engineers
Contribute to dashboards, reports, and data summaries that help communicate findings and support engineering and operational decision‑making
Qualification
Required
Currently pursuing bachelor's, master's or PhD degree in Data Science, Electrical, Industrial, Mechanical, or Civil/Structural engineering, Statistics, or other related field
Must be continuing their education toward a degree during and/or after the internship
Preferred
Pursuing a Ph.D. in Engineering, Statistics, Data Science, or a related field (power systems emphasis preferred)
Minimum 3.0 GPA (cumulative and major)
Proficient in Python
Strong foundation in statistics and/or machine learning
Understanding of power systems fundamentals such as power flows, per-unit analysis, symmetric components, and/or protection engineering
Passion for solving complex technical challenges to support communities
Enthusiasm for learning and adopting new tools, platforms, and technologies
Excellent written and verbal communication skills
Benefits
Pacific Gas and Electric Company, incorporated in California in 1905, is one of the largest combination natural gas and electric utilities in the United States.