Summer Intern - Load and Weather Risk Analyst
Listed on 2026-09-22
-
Energy/Power Generation
Electricity Generation, Renewable Energy -
Engineering
Rate: $22 USD per hour
What You’ll DoAs our Load and Weather Risk Analyst Intern, you’ll contribute to Operations Risk Management’s mission of accurately forecasting load and quantifying risk that drives decisions in managing energy across the transmission grid — helping ensure efficient generation dispatch, adequate energy supply, and stable prices for millions of people across the region.
You’ll Gain Hands‑on Experience With- Developing or enhancing load probability forecasting models
- Identifying and building models that assess renewable generation risk, including ramp periods, using historical and real‑time weather and load data
- Automating and modernizing legacy forecasting tools and scripts using Python and SQL
A good day in this role means accurately forecasting load and quantifying and communicating the risk that drives decisions in managing energy across the transmission grid. Accurate weather forecasting reduces uncertainty and lowers the risk associated with renewable generation and load forecasting. You’ll know you’re making an impact when your forecasts and risk analysis help drive efficient generation dispatch, an adequate energy supply, and stable prices.
ThisIs a Unique Opportunity Because
This role sits at the intersection of weather science, power systems, and financial risk — few teams in the energy industry blend meteorology with grid operations and market risk management the way this one does. You’ll gain exposure to how forecasting accuracy directly shapes operational decisions and market outcomes across MISO’s footprint.
What You’ll Be Proud To Share- Built or enhanced a load or renewable‑generation forecasting model used to manage operational risk across the transmission grid.
- Modernized a legacy forecasting tool or script using Python and SQL.
- Gained hands‑on experience interpreting weather models and their impact on renewable generation and load forecasting.
Term:
June 2 – August 13, 2027 | Full-time | Paid
Location:
Carmel, IN | Housing available for qualified students
Academic Level: Undergraduate and Graduate
Degree:
Electrical Engineering, Power Systems Engineering, or Computer Engineering
- Proficiency in Python and SQL for data analysis
- Coursework or experience in atmospheric science, physics, economics, or business
- Prior meteorological internship experience
- Familiarity with interpreting weather models and knowledge of renewable and thermal generation, transmission grids, and energy distribution
- A tangible impact story (e.g., "I built a model that improved load forecast accuracy and reduced operational risk")
- Stronger technical skills (forecasting, data analysis, automation) and soft skills (communicating risk to decision-makers)
- A deep understanding of how weather, load, and generation risk connect to grid reliability and market outcomes
- Expanded professional network across MISO and the energy industry
- A strong résumé bullet such as: "Developed load and renewable‑generation risk forecasting models at MISO, supporting efficient dispatch and reliable energy supply across the Midwest."
MISO manages the electricity superhighway in the Central U.S. Through use of groundbreaking research and advanced technology, our highly skilled employees ensure power flows reliably to 47 million customers. Operating the electricity grid, running a robust energy market, planning for a bright future – it’s what our immensely talented and dedicated team does every day. Plug into your future career.
Qualifications Skills Required- SQL:
Intermediate - Python:
Intermediate
- Masters or better in Computer Engineering
- Bachelors or better in Computer Engineering
- Masters or better in Power Systems
- Bachelors or better in Power Systems
- Masters or better in Electrical Engineering
- Bachelors or better in Electrical Engineering
Equal Opportunity Employer
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For further information, please review the Know Your Rights notice from the Department of Labor.
Job Category:
Engineering
Full‑Time
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