Summer 2026 Intern Program: Advanced Data and Analytics (Machine Learning Engineering)
About The Position
As we help clear the path to a greener future, we need to ensure our people continue to power our progress. The world of energy is changing faster than ever! Our Gridtern Program provides current college students the ability to gain practical experience within the energy industry. Your summer will begin on Monday, June 15, 2026, and will be filled with meaningful work experiences, professional development, networking opportunities, community involvement, and most importantly, have fun! Our Advanced Data and Analytics (Machine Learning Engineering) team is responsible for developing data pipelines for production jobs and executing various data science prototype models into production. This team not only addresses and resolves production bugs but also monitors our broader organizational operations and provisions the necessary infrastructure within Azure to keep our systems running efficiently. As a Gridtern, you will assist this team with a variety of Machine Learning projects and help develop a platform tool for our Data Science team. You will have the opportunity to collaborate with other data scientists to understand their needs and build data pipelines that enhance a greater ingest of data. Lastly, you will also participate in code reviews to enhance code quality and support the cloud infrastructure required for Data Engineering, Data Science, Machine Learning Engineering, and Machine Learning Operations. You will be based in Brooklyn, NY working in a Hybrid format for the summer. You must reside within a commutable distance to the designated work location during this period.
Requirements
- Availability to start on the program start date, June 15, 2026, and work full-time (40 hours a week) for the duration of the summer
- Must be registered as a full-time student and continue your education full-time through the Fall 2026 semester
- Pursuing a Bachelor’s degree in Computer Science, Data Science or other STEM majors.
- Have accumulated 18 or more credits and be at least 18 years of age
- Possess work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (including CPT & OPT)
- Valid US Driver’s license with a safe driving history that complies with National Grid’s Safe Driver policy.
Responsibilities
- Assist with a variety of Machine Learning projects
- Help develop a platform tool for our Data Science team
- Collaborate with other data scientists to understand their needs and build data pipelines that enhance a greater ingest of data
- Participate in code reviews to enhance code quality
- Support the cloud infrastructure required for Data Engineering, Data Science, Machine Learning Engineering, and Machine Learning Operations
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What This Job Offers
Job Type
Full-time
Career Level
Intern
