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.

Requirements

Pursuing master’s degree in Power System, Industrial, Mechanical, Structural engineering, Statistics, Data Science, or other related field
Students must be continuing their education towards their degree during and/or after the internship
Working toward a PhD degree in Power Systems, Industrial, Mechanical, Structural Engineering, Statistics, Data Science, or a related field
Minimum 3.0 GPA (both cumulative and major GPA)
Proficient in Python
Strong foundation in statistics and 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisdata cleaningdata integrationstatistical modelingmachine learningdata pipelinesPythonbig datadashboard developmentdata visualization

Soft Skills

problem solvingenthusiasm for learningwritten communicationverbal communication