Data Science Intern

Oakland, CA, US, 94612

Pacific Gas and Electric Company

Pacific Gas and Electric Company (PG&E) provides natural gas and electric service to residential and business customers in northern and central California.

View company page

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.

Tags: Data analysis Engineering PhD Power BI Python Snowflake SQL Statistics

Perks/benefits: Equity

Region: North America
Country: United States
Job stats:  35  14  1

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.