Data Analytics Intern
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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.
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.
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What This Job Offers
Career Level
Intern
