Load Forecasting Data Scientist

ISO New England, Inc

Windsor, Connecticut, United StatesFull-time$86,000–$146,000Posted Oct 20, 2026

About the role

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.

New technologies and the New England region’s economy-wide decarbonization efforts are driving a profound transformation in the work of the Forecast Group within System Planning. Responsible for analytics and predictive modeling of the region’s electricity demand across all timescales—spanning both short-term and long-term time horizons—the Forecast Group is innovating and redesigning its forecasting methods, software, and tools to meet changing trends in how retail customers procure, manage and use electricity.

This role requires a self-starter with demonstrated ability to work seamlessly both unsupervised and in a fast-paced, collaborative team environment. There are two open positions, each having a respective emphasis on either short- or long-range forecasting. Both roles provide an opportunity to lead the team’s development of next generation forecasting tools and methodologies that are integral to the planning and operation of the future grid.

What we offer you:

A stable, mission-driven workplace where your impact truly matters

A highly engaged work environment that values inclusion, collaboration, and employee safety and wellbeing

Competitive compensation with a base salary + performance bonus

Robust benefits package, including:

Enhanced 401(k) and financial planning support

Tuition reimbursement and professional development

Wellness programs, including an onsite gym

Flexible work hours

Employee Business Networks

Onsite luncheon spaces with free coffee and a variety of dining options

Hybrid work environment (3 days/week onsite)

Distance-based relocation assistance available

How you will make an Impact

Work independently and collaboratively on analytical, programming, modelling, and data management activities

Map out and document problem statements, project requirements and associated workflows in pursuit of efficient and effective solutions

Leverage a curious mindset, initiative, and “elbow grease” to enhance existing processes, and to innovate new forecasting methods, tools, and software

Communicate complex, technical content to a diverse audience through written reports and presentations

Apply a persistent drive for quality results to lead the development of data pipelines, reusable software packages and visualizations

Stay current with forecasting research and industry best practices; evaluate and implement relevant approaches strategically

What we are looking for

Bachelor’s degree in Economics, Mathematics, Engineering, Operations Research, or a related field

3+ years of experience in the energy industry in forecasting, data analytics, or equivalent

Proficiency in at least one advanced programming language such as Python, R, MATLAB, or SAS

Hands-on experience developing software in a collaborative team environment

Experience working with big data, geospatial analytics, and/or probabilistic forecasting

Experience building applications that ingest and use data from multiple sources and formats (i.e., data wrangling/data munging).

5+ years of relevant experience is required to be considered for a senior-level position. 7+ years of relevant experience is required to be considered for a lead-level position.

Excellent written and verbal communication skills

Desired but not required:

Experience in electricity consumption modelling or economic modelling in the energy sector

Knowledge about distributed energy resources (e.g. photovoltaics, batteries), electric vehicles, and/or cold-climate heat pumps

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.).

The expected salary range for the Associate to Mid-Level is $86,000 - $120,000 per year. We will also consider a Senior or Lead. The pay range for the Senior to Lead level is $117,000 - $146,000 annually. This role is also eligible for an annual performance bonus, comprehensive health insurance (medical, dental and vision), flexible spending and health savings accounts, a 401(k) plan with generous employer contributions and a student debt benefit, life and AD&D insurance, disability insurance, critical illness and hospital indemnity benefits, paid time off, paid leave, a wellness program, an employee assistance program and other great company perks.

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

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.

Responsibilities

  • Develop and improve forecasting methods, tools, software, and data pipelines for electricity demand.
  • Conduct analytical, programming, modeling, and data management work.
  • Document problem statements, requirements, and workflows.
  • Communicate technical findings through reports and presentations.
  • Evaluate forecasting research and industry practices.

Qualifications

  • Bachelor’s degree in Economics, Mathematics, Engineering, Operations Research, or a related field.
  • At least 3 years of experience in energy industry forecasting, data analytics, or equivalent.
  • Proficiency in Python, R, MATLAB, SAS, or another advanced programming language.
  • Experience developing software collaboratively and working with big data, geospatial analytics, or probabilistic forecasting.
  • Experience building applications that ingest and use data from multiple sources and formats.
  • Strong written and verbal communication skills.

Benefits

  • Annual performance bonus
  • Medical, dental, and vision insurance
  • 401(k) with employer contributions and student debt benefit
  • Tuition reimbursement and professional development
  • Flexible work hours and hybrid work environment
  • Paid time off and paid leave
  • Wellness programs and employee assistance program
  • Relocation assistance may be available

Skills mentioned

PythonRMATLABData AnalysisStatistical AnalysisStatistical ModelingTime-Series ForecastingData EngineeringData PipelinesData Visualization

About ISO New England, Inc

Keeping the power flowing reliably and at competitive prices to the homes, businesses, and industries across the six diverse states of New England is a complicated, demanding, and ever-evolving job. Succeeding in our unique mission amid today’s rapidly evolving industry and operational challenges means attracting highly skilled, committed, innovative, and adaptable professionals from across a variety of competitive industries. Over 60% of ISO employees hold advanced degrees, and the ISO competes for top talent in high-demand fields not only with regional companies but with other grid operators and power companies across the US.

Utilities501-1,000 employeesHolyoke, MA

H-1B sponsorship history

Historical employer filing data was found for ISO New England, Inc. The employer record includes 53 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.