Requisition ID # 156570 
Job Category: Administrative / Clerical 
Job Level: Individual Contributor
Business Unit: Gen Counsel, Ethics, Risk & Compliance
Work Type: Hybrid
Job Location: Oakland
 
  
Data Science Intern
 
Department Overview
The Enterprise Risk and Operational Risk Management (EORM) organization is responsible for enabling the business to effectively manage risk in key areas of the enterprise. EORM organization is charged with overseeing all operational risk management related to PG&E’s operations and public safety. Some of these areas include but are not limited to the evaluations of risks associated with wildfires, nuclear plants, dams, natural gas assets, cyberattacks, and natural disasters.
 
Position Summary
We are looking for a data science intern to join our team to help develop and deploy risk models in a timely manner.  In this role you will work as a part of a EORM Risk Analytics team to help improve the current risk modeling and its processes.
This is a role at the intersection of data science, risk modeling, data engineering, and data analysis.
Responsibilities include, but not limited to the following workstreams:

Gathering, cleaning, and analyzing the data from varied sources
Designing and implementing a risk data pipeline
Learning how the data is currently used for enterprise risk quantification and modeling
Enabling frequent quantitative risk model updates
Developing an interactive dashboard that includes visualization of the risk data to provide key insights

 
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 $35.11.
 
The hands-on work that this position entails will provide the successful intern with knowledge about quantitative risk modeling and analytics at PG&E and knowledge of the various PG&E organizations and operations.
 
Qualifications
Minimum Qualifications:

BA/BS or Master’s degree in Statistics, Computer or Data Science, Engineering or other related field



 (students must be continuing education towards degree during and/or after the internship in a fulltime capacity) 




Knowledge of relevant programming languages and tools such as Python, Microsoft Power BI, SQL

 
 Desired:

Working towards a master’s or PhD degree in the field of statistics, computer or data science, engineering or other related field.
The ability to work seamlessly in a team environment and support fellow team members
Strong problem solving, critical thinking, researching and analytical skills 
Strong communication skills, both written and oral
Strong organizational skills such as effective work prioritization, discipline in deadline submissions, and the ability to work on multiple tasks independently
Experience with platforms such as Palantir Foundry and Snowflake
Self-starter and takes initiative

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