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How much do load forecasting jobs pay per hour?

As of May 30, 2026, the average hourly pay for load forecasting in the United States is $17.02, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Load Forecaster, and why are they important?

To thrive as a Load Forecaster, you need a strong background in mathematics, statistics, and energy systems, typically supported by a relevant degree such as engineering or applied mathematics. Proficiency with forecasting software, statistical analysis tools (like R or Python), and experience with SCADA or energy management systems is commonly required. Attention to detail, analytical thinking, and effective communication are standout soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate demand predictions, optimize resource allocation, and support reliable operation of power systems.

What are some of the common challenges faced by professionals in load forecasting roles, and how are they typically addressed?

Professionals in load forecasting often encounter challenges such as adapting to rapidly changing consumption patterns, integrating new data sources (like smart meters or renewable generation), and accounting for unexpected events (e.g., weather anomalies or economic shifts). These challenges are usually addressed by leveraging advanced statistical models, machine learning techniques, and close collaboration with data engineers and grid operators. Regularly updating models and ongoing training help ensure forecast accuracy, while teamwork facilitates the incorporation of real-time data and feedback.

What is load forecasting?

Load forecasting is the process of predicting the future demand for electricity over a specific period. Utilities and energy companies use load forecasting to ensure that they can meet customer demand efficiently and reliably. Accurate load forecasts help with planning generation, purchasing energy, managing grid stability, and optimizing operational costs. Forecasts can be short-term (hours or days), medium-term (weeks or months), or long-term (years), and they are crucial for maintaining a stable and economical power supply.

What is the difference between Load Forecasting vs Load Data Analyst?

AspectLoad ForecastingLoad Data Analyst
CredentialsBachelor's in Engineering, Data Science, or related fields; certifications in data analysis or energy managementBachelor's in Data Science, Statistics, or related fields; certifications in data analysis tools
Work EnvironmentEnergy companies, utilities, or grid operators; focus on predictive modelingData-driven roles in various industries; focus on analyzing and interpreting data
Industry UsagePrimarily in energy, utilities, and power sectors

Load Forecasting involves predicting future energy demand using statistical and machine learning models, essential for grid stability. Load Data Analysts focus on analyzing existing energy data to identify trends and support decision-making. While both roles require data analysis skills, Load Forecasting emphasizes predictive modeling specific to energy consumption, whereas Load Data Analysts interpret historical data to inform strategies.

More about Load Forecasting jobs
What states have the most Load Forecasting jobs? States with the most job openings for Load Forecasting jobs include:
What job categories do people searching Load Forecasting jobs look for? The top searched job categories for Load Forecasting jobs are:
Load Forecasting jobs near you
Infographic showing various Load Forecasting job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $35,405 per year, or $17 per hour.

Senior Economist (Data Scientist)

National Grid

Hicksville, NY • Hybrid

$142K - $167K/yr

Other

Posted 23 days ago

Job description

About us

National Grid is hiring a Senior Data Scientist for Electric Load Forecasting. This position can be based out of Waltham, MA, Brooklyn, NY or Hicksville, NY office.

Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live. The pace of change in society and our industry is accelerating and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry.

To be successful, we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business.

Job Purpose

The Load Forecasting & Analytics team produces electric and gas forecasts for National Grid. As a Senior Data Scientist of Electric Load Forecasting, you will develop long-term electric load forecasts at the system and distribution feeder level. You will integrate distributed resource, demand-side management, and electrification load forecasts (including solar PV, energy efficiency, demand response, electric vehicles, storage, etc.) for our US service territory.

You will support internal stakeholders including Supply, Engineering, Regulatory, Strategy, Finance, and others.  You will ensure the forecasts incorporate new distributed energy resources, technologies, and policies. 

Key Accountabilities
  • Develop long-term Electric Load Forecasts at the system and feeder level using econometric models, time series models, regression analysis, and machine learning models as appropriate. 
  • Perform exploratory analysis of large complex data sets to derive insights and valuable actions
  • Ensure the forecasts properly account for distributed energy resources and new technologies and policies (e.g. energy efficiency, demand response, electrification of heat, PV, EV, etc.).
  • Perform additional analysis relating to the forecast as necessary.
  • Discover business narrative told by the data and be able to present them to peer data scientists, business stakeholders, and managers at various levels.
  • Provide expert testimony before regulators and defend the forecasts. Respond to data request from regulatory bodies for rate cases and other proceedings.  Assist with code review and quality assurance activities.
  • Document and archive models and scrips (e.g., using Git/Bitbucket) to enable ongoing support.
  • The position of senior requires the ability to work independently and communicate to both internal and external stakeholders to present and defend results.  The ability to speak to both technical and non-technical persons to present projects is essential.
  • Update forecast processes and documentation to ensure they are efficient, reviewable, and reliable.
Qualifications
  • Bachelor's degree (Master's or PhD preferred) in economics, statistics, mathematics, applied analytics, operation research, engineering, or related quantitatively rigorous field.
  • Demonstrated experience with econometric or statistical forecasting or modelling required.
  • Expertise in statistical programming software such as Python, SAS, R required.
  • Advanced SQL skills preferred
  • Experience in energy forecasting, energy related industry, or in a regulated setting with direct interaction with regulators preferred.
  • Good understanding of National Grid's operations and the regulatory environment preferred.
  • Experience with policy or forecasting distributed resources (e.g. PV, EV, energy efficiency, demand response, electrification of heat, etc.) preferred.
  • Strong written and verbal communication skills including the ability to testify before regulators and respond to regulatory data requests.  Ability to explain complex technical concepts to non-technical stakeholders.
  • Experiences with Git/Bitbucket, Azure is preferred.
  •  Advanced Excel skills preferred.
  • Collaborate with internal stakeholders (including supply, engineering, regulatory, strategy) regarding forecast methodology and analysis and ensure our deliverables meet their needs.  
  • Stay current in all policies, regulatory requirements, market trends, and industry standards regarding customer energy use and technologies and programs impacting that use, such as energy efficiency and demand response.
More Information

#LI-Hybrid

#LI-STR1

MA Salary: $133,000 - $156,000 a year

Downstate NY Salary: $142,000 - $167,000 a year

National Grid utilizes an assessment that evaluates the job qualifications/characteristics using AI or statistically based scoring. For more information, please view NYC Local Law 144.

This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.

National Grid is committed to providing equal employment opportunities to all employees and applicants for employment regardless of protected class. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, or any other protected status in accordance with applicable federal, state, and local laws. National Grid maintains affirmative action programs for individuals with disabilities and protected veterans.

Our employment practices are designed to ensure that all individuals are treated fairly and with respect throughout the hiring process and during employment. National Grid complies with all applicable federal, state, and local anti-discrimination laws. We are dedicated to fostering a workplace that is free from unlawful discrimination and harassment, and we encourage a culture of respect for all.

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