2027 Summer Intern - Load and Weather Risk Analyst

Midcontinent-Independent-System; Carmel (IN); On-site; USD 26,000 - 34,000; Full time

Benefits offered by this job

Housing available

Job summary

MISO is seeking a 2027 Summer Intern - Load and Weather Risk Analyst in Carmel, IN to contribute to Operations Risk Management. You’ll help forecast load and quantify risk affecting generation dispatch and energy supply across the region.

You will gain hands-on experience with Python/SQL, develop forecasting models, and modernize legacy tools while working on real-time weather and load data to support grid reliability.

Qualifications

• Proficiency in Python and SQL for data analysis.
• Undergraduate or graduate degree in Electrical/Power/Computer Engineering.
• Location Carmel, IN; June–Aug 2027; paid internship.

Responsibilities

• Developing or enhancing load probability forecasting models.
• Identifying and building models that assess renewable generation risk from weather/load data.
• Automating and modernizing forecasting tools and scripts using Python and SQL.
• Communicating risk to decision-makers based on forecast results.

Skills

SQL

Python

Education

Bachelors or better in Computer Engineering or related field

Bachelors or better in Electrical Engineering or related field

Bachelors or better in Power Systems or related field

Masters or better in Computer Engineering or related field

Masters or better in Electrical Engineering or related field

Masters or better in Power Systems or related field

Job description

2027 Summer Intern - Load and Weather Risk Analyst

Job Category: Engineering

Requisition Number: 2026S002778

• Posted : September 8, 2026
• Full-Time
• On-site
• Rate : $22 USD per hour

Locations

Showing 1 location

Carmel, IN 46032, USA

Description

What You’ll Do:

As 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 Great Day in This Role Means:

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.

This is 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.

Qualifications at a Glance:

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 ComputerEngineering

Required Technical Skills:

• Proficiency in Python and SQL for data analysis

Preferred Skills:

• 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

By the End of Your Internship, You’ll Walk Away With:

• 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.”

About MISO

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.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

Skills

Required

SQL

Intermediate

Python

Intermediate

Education

Preferred

Bachelors or better in Computer Engineering or related field.

Bachelors or better in Electrical Engineering or related field.

Bachelors or better in Power Systems or related field.

Masters or better in Computer Engineering or related field.

Masters or better in Electrical Engineering or related field.

Masters or better in Power Systems or related field.