About this role

Collecting, cleaning, integrating, and analyzing data from diverse internal and external sources.
Designing, developing, and deploying analytical models (statistics and ML) and data pipelines across big data cloud platforms such as Palantir Foundry, Amazon AWS, and similar environments.
Building interactive dashboards to visualize model performance, data analytics and communicate key insights.

Qualified candidates are pursuing a Master’s or PhD degree in Electrical Engineering, Industrial Engineering, Mechanical Engineering, Structural Engineering, Statistics, Data Science, or other related field.
Students must be continuing their education towards their degree during and/or after the internship.
Pursuing a Masters or PhD degree in Electrical Engineering with an emphasis in Power Systems or Industrial Engineering.
Experienced in Python.
Minimum 3.0 GPA (both cumulative and major GPA).
Strong foundation in statistics and/or machine learning.
Passion for solving complex problems to support communities and enthusiasm for learning new technologies.
Excellent written and verbal communication skills.
PG&E is unable to provide VISA sponsorship to students on an F-1, J-1 or other student visa for this position.

Data Scientist Intern – Grid Reliability, Predictive Analytics

Key skills