ATS Predictive Modeling Intern

Pacific Gas And Electric Company • San Ramon, CA

1d • $23 - $46 • Onsite

About The Position

We are seeking a Predictive Modeling Intern to help develop statistical models to evaluate and predict component failures and risk. In this role, you will collaborate closely with the Failure Analysis and New Technologies teams. This position will span across predictive modeling, data science, power engineering and large-scale data analysis. This internship offers hands‑on experience with real-world datasets and advanced modeling techniques.

Requirements

• Currently pursuing bachelor's, master’s or PhD degree in Data Science, Electrical, Materials, or Mechanical Engineering, or Statistics, or other related field
• Must be continuing their education toward a degree during and/or after the internship

Nice To Haves

• Pursuing a Ph.D. in Engineering, Statistics, Data Science, or a related field (power systems emphasis preferred)
• Proficient in Python
• Strong foundation in statistics and/or machine learning
• 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

Responsibilities

• Data Management and Analysis: Assist in collecting, cleaning, and integrating datasets and help build simple data pipelines from internal sources to support analytics and operational insights.
• Model Development: 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.
• Visualization and Reporting: Contribute to dashboards, reports, and data summaries that help communicate findings and support engineering and operational decision‑making.

What This Job Offers

• Career Level: Intern