Associate, Power Markets Modeler

I. About PowerIntel

PowerIntel is on a mission to accelerate the energy transition. We develop highly accurate, asset-level forecasts with integrated pricing, financials, operations, and emissions. Our forecasts inform investment decisions and reduce risks for all types of electric power assets, including renewable, thermal, and high voltage transmission.  We deliver our data through a cloud-based platform to leading players in North American power markets, including corporate energy purchasers and developers of renewable energy projects.   

We are looking for talented people who want to make a difference – both for our planet’s clean energy future, and for our team.  As a fast-growing startup, PowerIntel offers rich opportunities for each team member to contribute, to learn, and to advance professionally.  You will be mentored and trained by our senior team, including thought leaders in the power market.  We are looking for rising stars to work with a tight-knit team based in our Boston (Newton) office.

Your day-to-day work will engage you and challenge you.  You will be an integral part of our multi-functional collaborative team.  Your work will be highly varied – from researching the latest trends in renewable energy, to performing quantitative analysis of power grid data, to helping clients extract insights from our data, to proposing features for our next generation products.

talented people who want to make a difference – both for our team and the planet’s clean energy future. As a fast-growing startup, PowerIntel offers rich opportunities for each team member to contribute, to learn, and to advance professionally. You will be mentored and trained by our senior team, including thought leaders in the power market. We are looking for rising stars to work with a tight-knit team, either in our Boston office or remotely.

 

II. About This Position

As an Associate (Power Markets Modeler), you will play a key role in developing our differentiated data and models. You will research North American power market fundamentals and regulatory trends and act as an expert in one or more regional power markets.  You will build, maintain, and run the models that we use to deliver accurate and granular insights to our clients.  And as part of a tight-knit startup, you will work extensively with our technical and customer-facing teams.

Key Responsibilities

  • Monitor the energy market – track trends in areas such as renewable energy, battery storage, distributed generation, grid modernization, retirement of conventional generation, and energy policy 
  • Develop models and forecasts of the North American electric grid, leveraging in-house tools and the expertise of our senior team.  Own the models you build and manage model evolution over time 
  • Leverage your technical skills to source and automate the ingestion of input datasets and the analysis of model results 
  • Produce regular updates to our forecasts by leveraging the latest available public data inputs, plus data derived through our proprietary procedures 
  • Plan and execute benchmarking to test the accuracy of your models, and to improve future modeling 
  • Collaborate with our senior team and clients to develop future market evolution scenarios 
  • Analyze external sources of data on the US power grid, spanning environmental, financial, and operational metrics 
  • Manage model and data development pipelines including data collection, analysis, result interpretation, result communication, and process documentation via oversight, quality control, and methodology input
  • Serve as a subject matter expert to explain market models and forecasts to clients  
  • Collaborate with client success teams in addressing client questions and requests 
  • Act as a leader to junior staff and peers through training, direction, and oversight
  • Assist in company development via input on knowledge management best practices, recruiting, etc

 

Required Qualifications

  • Bachelor’s degree in engineering, mathematics, or another quantitative field 
  • Strong data analysis skills, including hands-on experience using Python, R, or another similar language 
  • 7+ years of experience developing and using nodal power system simulation models (ENELYTIX/PSO, AURORA, PROMOD, PLEXOS, ENCOMPASS, etc.) for capacity expansion and production cost modeling
  • Experience in modeling several U.S. power markets
  • Expert understanding of North American power market fundamentals, regulatory trends, energy economics, and data sources
  • Firm understanding of optimization modeling as it relates to electricity markets (constraints and shadow pricing), microeconomics (supply and demand), and elementary finance (net present value calculations) 
  • Strong communication skills: ability to work collaboratively in a diverse team environment; ability to communicate complex findings with clear connection between results and objectives, ability to give and receive feedback professionally, write and present data graphically with clarity and logic
  • Superior time management skills: ability to work effectively in a fast-paced, dynamic, startup environment 

 

Preferred Qualifications

  • Advanced degree in engineering, mathematics, economics, or another relevant discipline 

 

Additional details.  This posting is for an in-person role at PowerIntel’s office in Newton, Massachusetts. Associates will be expected to work from the office at least 3 days per week, with flexibility to work from home as needed. We will consider candidates who require visa sponsorship. 

Equal Opportunity statement.  PowerIntel is an Equal Opportunity Employer. We are committed to ensuring no discrimination on the basis of age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation. We welcome all applications from a wide range of candidates, and selection for roles will be based on individual merit alone.

Application Form

July 2025 Associate Application
Re-enter email address
Please provide as a URL

Maximum file size: 2MB

Skip to content