Data Scientist Intern

Requisition ID # 164268

Job Category: Administrative / Clerical

Job Level: Individual Contributor

Business Unit: Customer & Enterprise Solutions

Work Type: Hybrid

Job Location: Oakland

Department Overview

The Customer Insights, Strategy and Analytics organization leverages qualitative and quantitative data to evaluate the effectiveness of customers’ touchpoints with PG&E. We do this through data analytics, journey mapping, qualitative and quantitative research, process improvement, and program management. We build empathy and advocate on behalf of customers and develop actionable insights to influence strategy and improve customer experience.

Position Summary

We are looking for a Data Scientist Intern to join us and help us better understand customer experience leveraging data. In this role, you will design, develop, and execute scripts, programs, models, algorithms, and processes, using structured and unstructured data across surveys and other disparate sources; this work will produce actionable insights for customer strategy, policy development, process improvement, and product enhancement.

Successful candidates will be able to interact with technical and non-technical coworkers to resolve analysis and technical issues and are able to summarize and package findings for presentation

You will play a key role in fundamentally changing how we deliver for our hometowns!

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 $22.77 to $36.42.

Responsibilities

Understand and apply statistical and analytical modeling methods and Generative AI (LLM) to identify opportunities for improving customer experience

Analyze data for trends and patterns and interpret data with clear objectives in mind

Develop expertise with customer demographic data, billing data, and other structured/unstructured data

Appropriately document data sources, methodology, and model evaluation metrics

Develop and present summary presentations

Qualifications

Minimum Qualifications:

Qualified candidates are pursuing a Master’s degree in Data Science, Computer Engineering, or related field at an accredited University

Students must be continuing their education towards their degree during and/or after the internship

Desired:

Took courses in machine learning/statistical learning, coding (python & SQL)

Knowledge in generative AI/LLM

Ability to work in a team environment and support fellow team members

Strong problem solving and analytical skills

Strong communication skills, both oral and written

Takes initiative and can work independently with minimal direction