About the role#
As a Data Analytics Intern, you will join a cross-functional team managing the intake, triage, and evaluation of safety and electrical incidents. Working within Palantir Foundry, you will transform structured and free-text data into reliable datasets and prototypes to support regulatory reporting and corrective-action outcomes. This role focuses on applying NLP and machine learning fundamentals to real-world safety data while learning to navigate the constraints of rapid reporting workflows.
What you'll do#
- 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, including Named Entity Recognition (NER) for incident narratives, baseline CPUC/SIF triage models, and interactive dashboards.
- Create reproducible ETL pipelines and implement data quality checks.
- Produce clear documentation and handoffs for Data Scientists and operations teams.
- Present findings and demos to stakeholders to incorporate feedback into your work.
What you'll need#
- Currently enrolled full-time in a Bachelors or Masters program studying Data Science, Statistics, Computer Science, Engineering, or a related field at an accredited university.
- Must be returning to school in the fall of 2026 in a full-time academic capacity.
- Hands-on experience with Python and common libraries such as pandas, scikit-learn, and spaCy.
- Experience with NLP tasks (NER, text classification) or time series and geo-analytics.
- Exposure to safety, utilities, or regulatory environments.
- Familiarity with SQL and data modeling concepts.
Location & details#
- Location: Oakland, California.
- Term: Fall 2026.
- Modality: Hybrid.
- Employment type: Full-time, paid internship.
- Note: Visa sponsorship is not available for this position.
