Machine Learning Intern

ISO New England is the not-for-profit, independent system operator responsible for ensuring the safe and reliable flow of electricity in our region and planning for the future of the electric grid. We are at the forefront of New England’s ongoing transition to clean energy.

Internship Title –Machine Learning Model for Local Gas Demand
Department – System Operations and Market Administration
Minimum Education level: SR
Preferred Majors: Data Science, Computer Science, Applied Math

Department Description: 
The Operations Energy Security Team provides regular energy security forecasts for New England, looking ahead to the next 21 days as well as the upcoming summer/winter. These energy forecasts consider a variety of factors that may cause electricity shortages, including fuel availability, emissions restrictions, known generator outages, and timing of intermittent renewables like wind and solar.

What will you be working on:
Intern will develop and test a model to predict local gas heating demand using one or more machine learning algorithms in Python, based on existing local temperature forecasts. This local/zonal model will improve predictions for natural gas availability, a key driver in energy security forecasts. As well as analyze and document emissions restrictions on New England generators, by scraping public emissions permits.

In this role, you will have hands-on experience building a forecasting model using machine learning, including experience planning and building a long-lived coding project from scratch.
 
You will gain familiarity with the New England electricity sector, especially how it interacts with the natural gas sector as well as emissions permitting.

How will you make an impact:
The products from this internship -- a local gas demand model and an emissions restrictions catalog -- are needed to support planned improvements to energy security forecasting tools.

What we look for in a candidate: 
Python (intermediate or higher)
Coursework or previous research/internship experience in machine learning algorithms
Git version control experience (preferred, not required)

To be eligible for the internship candidate must have completed at least the first year of college and be currently enrolled in a four year or graduate-level academic program. Candidates must have the authority to work in the US on a permanent basis, without requiring sponsorship.

Equal Opportunity: We are proud to be an EEO/AA employer. Applicants for employment are considered without regard to race, color, religion, creed, sex (including pregnancy, childbirth, and related medical conditions), gender identity or expression, sexual orientation, citizenship, national origin, age, ancestry, marital status, disability (including learning, mental, intellectual, and physical), service in the uniformed services, genetic information, or any other status protected by applicable law.

Drug Free Environment: We maintain a drug-free workplace and perform pre-employment substance abuse testing.