ATS Predictive Modeling Intern

Requisition ID # 171086 

Job Category: Administrative / Clerical 

Job Level: Individual Contributor

Business Unit: Strategy & Growth

Work Type: Onsite

Job Location: Danville

Department Overview

Applied Technology Services (ATS) has been providing technology-based, innovative, high-value services to the Company for over 50 years. ATS is a multidisciplinary team of over 120 engineers, scientists, and technicians. The ATS vision is to be a forward-thinking, technological leader providing high-value solutions and services needed across the Company. ATS high value services also help proactively avoid future problems by specifying equipment, materials and methods that are best practices in the industry.

Position Summary

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.

Responsibilities

As an integral member of the team, the intern will contribute to:

• 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.

PG&E is providing the hourly rate range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job.  The actual hourly rate paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. 

The hourly rate for this position ranges from $23.08 to $46.46 

Qualifications

Minimum Qualifications:

• 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

Desired Qualifications:

• 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

Note: PG&E is unable to provide VISA sponsorship to students on an F-1, J-1 or other student visa for this position.