About the role

  • Data Scientist Intern at PG&E developing system performance monitoring tools using operational datasets. Collaborating with the System Performance Monitoring team to support grid modernization technologies.

Responsibilities

  • 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.

Requirements

  • 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
  • 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.

Job title

Data Scientist Intern – System Performance Monitoring

Job type

Experience level

Entry level

Salary

$23 - $46 per hour

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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