Job Details

Requisition ID # 170618

Job Category: Administrative / Clerical

Job Level: Individual Contributor

Business Unit: Strategy & Growth

Work Type: Hybrid

Job Location: Oakland

Role Summary

You will join a cross-functional data analytics intake team that manages intake, triage, investigation, and cause evaluations for electrical and safety incidents. Working in Palantir Foundry, you will turn structured and free-text incident data into reliable, production-ready datasets and prototypes that speed CPUC reportability decisions and improve corrective-action outcomes.

What You Will Learn and Deliver

• Practical Foundry skills: dataset transforms, code repositories, lineage, and operationalization.
• NLP and ML fundamentals applied to real safety data.
• Regulatory triage workflows and how rapid reporting constraints shape analytics.
• Deliverables: ETL pipelines, labeled datasets, prototype models, dashboards, and a final project report with reproducible notebooks.

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 a bachelor's degree ranges from $20.88 to $36.42.

Key Responsibilities

• Ingest and clean incident data in Palantir Foundry from structured fields and free-text narratives.
• Label and curate training datasets for NLP extraction and classification tasks.
• Build and validate prototypes: NER for incident narratives, baseline CPUC/SIF triage models, and interactive dashboards.
• Create reproducible ETL pipelines and data quality checks in Foundry.
• Produce clear documentation and handoffs for Data Scientists and operations teams.
• Support human-in-the-loop workflows for rapid CPUC reporting (2 hours during work hours / 4 hours outside).
• Present findings and demos to stakeholders and incorporate feedback.

Minimum Qualifications

• Currently enrolled full time in a Bachelors or Masters program studying Data Science, Statistics, Computer Science, Engineering, or related field at an accredited university.
• Students must be returning back to school in the fall of 2026 in a full-time academic capacity.

Desired Qualifications

• Experience with NLP tasks (NER, text classification) or time series/geo analytics.
• Exposure to safety, utilities, or regulatory environments.
• Familiarity with data quality frameworks and human-in-the-loop labeling tools.
• Hands-on experience with Python and common libraries (pandas, scikit-learn, spaCy or similar).
• Familiarity with SQL and data modeling concepts.
• Comfort working with free text and structured incident data.
• Strong communication skills and ability to document reproducible workflows.
• Willingness to learn Palantir Foundry; prior Foundry and Git experience is a plus.

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

Purpose, Virtues and Stands

Our Purpose explains "why" we exist:

• Delivering for our hometowns
• Serving our planet
• Leading with love

Our Virtues capture "who" we need to be:

• Trustworthy
• Empathetic
• Curious
• Tenacious
• Nimble
• Owners

Our Stands are "what" we will achieve together:

• Everyone and everything is always safe
• Catastrophic wildfires shall stop
• It is enjoyable to work with and for PG&E
• Clean and resilient energy for all
• Our work shall create prosperity for all customers and investors

More About Our Company

EEO
Pacific Gas and Electric Company is an Equal Employment Opportunity employer that actively pursues and hires a workforce that reflects the hometowns we serve. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, age, religion, physical or mental disability status, medical condition, protected veteran status, marital status, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information or any other factor that is not related to the job.

Employee Privacy Notice The California Consumer Privacy Act (CCPA) goes into effect on January 1, 2020. CCPA grants new and far-reaching privacy rights to all California residents. The law also entitles job applicants, employees and non-employee workers to be notified of what personal information PG&E collects and for what purpose. The Employee Privacy Notice can be accessed through the following link: Employee Privacy Notice

PG&E will consider qualified applicants with arrest and conviction records for employment in a manner consistent with all state and local laws.