Within the Electric Risk & Compliance organization, the Data Quality & Analytics team provides data analytics capabilities and platforms that enable effective responses to regulatory inquiries about customer affordability, system reliability, and public safety. The team works cross-functionally across the Electric Risk & Compliance organization to enable data driven decisions by applying industry-leading machine learning (ML), and GenAI. Join us and contribute to the successful delivery of cutting-edge solutions that enhance the effectiveness of PG&E’s AI transformation. The Process Intelligence Intern will pilot the use of process mining and analytics to generate insights that lead to material benefits to PG&E’s Electric Risk & Compliance processes. This experience will not only provide experience innovating a new data analytics technique (process mining) at PG&E, it will also include valuable exposure to the world of business consulting and lean operations management. This position is hybrid with the expectation of working in PG&E’s General Office in downtown Oakland, CA approximately 3 days per week. 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 this position ranges from $20.88 to $36.42.
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Career Level
Intern