Engineering Intern
NSTAR, now Eversource Energy- Follow our new company page, Eversource Energy
Westwood, MAFresher1m agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree
- Must know
- BudgetingData analysis
- Nice to have
- MATLABPythonSQLMachine learning
- Work
- Hybrid in Westwood · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python28%Budgeting15%Data analysis9%MATLAB2%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 29, 2026 · still open
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About the Role
This internship provides hands-on experience in electric distribution system modeling, power system studies, and engineering automation tools within the Advanced Modeling and Forecasting Team.
Key Responsibilities
- Assist with the development, maintenance, and validation of Synergi Electric distribution system models used for planning and engineering studies.
- Learn and apply industry best practices related to automated distribution system modeling, simulation, power system analysis, data management, and engineering automation.
- Participate in team meetings, training opportunities, and special projects that support the modernization and planning of the electric distribution system.
- Support distribution planning activities, including identification of system constraints, capacity deficiencies, and potential mitigation options.
- Contribute to automation and digitalization initiatives, including MATLAB-based scripting, data processing, and workflow improvements.
- Support efforts related to large-scale study execution, model governance, and engineering data management.
Requirements & Tech Stack
- Pursuing a Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Applied Mathematics, or a related quantitative discipline.
- Basic understanding of power systems, electric distribution systems, or energy infrastructure through coursework, academic projects, research, or prior internships.
- Coursework in one or more of the following areas is preferred:
- Power Systems
- Electric Machines
- Distribution System Analysis
- Control Systems
- Data Analytics
- Numerical Methods
- MATLAB, Simulink, Python, SQL, or similar technical tools gained through coursework, research, personal projects, or internships is a plus.
- Exposure to AI, machine learning, or data-driven analysis techniques is desirable but not required.
What You’ll Get
- Practical experience in a dynamic work environment
- Career development and mentorship
- Exposure to hands-on engineering tasks and experienced teams
- Opportunities available in Connecticut, Massachusetts, and New Hampshire