Student Intern - Data Science

ISO New England is the 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 – Data Science – Forecast Blending and Outage Coordination

Department – Architecture and Data Governance

Minimum Education Level: Senior

Preferred Majors: Computer Science, Information Systems, Data Science

Step into the action and help keep the energy grid running smoothly. You'll dive into data, blend forecasts, and coordinate outages, turning complex information into real-world solutions. Get hands-on experience, make an impact on energy operations, and see your work power the system every day!

Who we are

ISO New England is one of the most pivotal energy companies you may have never heard of. Our job is to oversee the 24/7 operation of the power grid that covers the six states of New England and to administer the region’s $10+ billion “stock exchange” for buying and selling of wholesale electricity. Our work ensures that over 14 million people can reliably turn their lights on and complete their jobs, take care of their families, and live in comfort with convenience.

Department Description

The Forecast and Outage Coordination applications team is one of ISO New England's core market support teams. The group is responsible for maintaining and enhancing applications that support load forecasting and outage coordination, ensuring the reliability and efficiency of the region's power system operations.

What You’ll be Working On

We are seeking a motivated and analytical Data Science Intern to contribute to the enhancement of our forecast blending process. The intern will explore advanced statistical approaches, persistence-based strategies, and the integration of AI and machine learning techniques to improve forecast accuracy. This is an opportunity to apply technical skills to real-world forecasting challenges and deliver work that will directly support ISO's mission of reliable power system operations.

What You'll Do

- Research and evaluate statistical, machine learning, and persistence-based forecasting methods.

- Apply time series analysis to improve four class blending processes.

- Explore enhancements to solar PV forecast blending mechanisms and persistence strategies.

- Use programming tools (Python, NumPy, Pandas or R )for data manipulation and model development.

- Test and evaluate models using industry standard metrics (MAE, RMSE, MAPE, etc.)

- Collaborate with experienced staff on production-level workflows and model evaluation

- processes.

How You’ll Make an Impact

You'll play a key role in helping the team produce accurate energy forecasts and coordinate system outages. Your work will directly support reliable and efficient energy operations, giving you hands-on experience and data analysis, predictive modeling in real-world decision-making that keeps the grid running smoothly period

What We Look For in a Candidate

- Strong foundation in statistics, time series analysis, and machine learning.

- Experience with Python (NumPy, Pandas, ect) or R.

- Familiarity with forecasting models and performance metrics Mae, RMSE, and MAPE.

- Strong analytical problem-solving and communication skills.

- A motivated self-starter with a passion for applying data science to energy systems.

What You'll Gain

- Hands-on experience tackling real-world forecasting challenges.

- Exposure to production-level modeling and evaluation workflows.

- Mentorship from experienced domain experts in forecasting and market support.

- The opportunity to contribute ideas that can directly impact business decisions and system reliability.

This employer will not sponsor applicants for work visas for this position (ex: H-1B, F-1/CPT/OPT, O-1, E-3, TN, J, etc.).

#LI-DNP

This is a U.S. based role. If the successful candidate resides outside of the U.S., relocation will be 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 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.