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Energy System Modelling Jobs (NOW HIRING)

Sigma Earth

With energy systems becoming increasingly complex, there is a growing need for strong analytical ... Proficiency in operations research applied to energy system modelling. * Extensive programming ...

VITO Research

WI · On-site

We work on the design, modelling and real‑life demonstration of innovative energy and flexibility ... You further develop in‑house energy market and system models where needed. * You assemble, clean ...

Energy Exemplar

Knowledge of electricity markets, power trading or electrical systems Planning & Operations * Experience in energy market supply and demand modelling via optimization/unit commitment (Preferably via ...

Sigma Earth

... modelling, and market programme design activities. * Work with systems such as ADMS, DERMS, MMS ... Energy Transition Service Line Operations * Develop go-to-market materials, case studies, and ...

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Energy System Modelling information

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$24K

$85.4K

$147.5K

How much do energy system modelling jobs pay per year?

As of Sep 12, 2026, the average yearly pay for energy system modelling in the United States is $85,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $87,500.00 per year, depending on experience, location, and employer.

What is energy system modelling?

Energy system modelling is the process of using mathematical models to simulate and analyze the generation, distribution, and consumption of energy within a specific system or region. These models help researchers, policymakers, and engineers understand how different technologies, policies, and market conditions can impact energy supply, demand, costs, and environmental outcomes. Energy system modelling is crucial for planning transitions to sustainable energy sources, optimizing grid infrastructure, and supporting decision-making related to climate change mitigation.

What are the key skills and qualifications needed to thrive as an energy system modeller?

To thrive as an Energy System Modeller, you need a solid background in engineering, mathematics, or physics, with experience in energy systems analysis and modelling. Familiarity with specialized software such as PLEXOS, TIMES, or EnergyPLAN, as well as programming languages like Python or MATLAB, is typically required. Strong analytical thinking, problem-solving, and effective communication skills help in interpreting complex data and conveying insights to stakeholders. These skills are vital to accurately predict and optimize energy system performance, supporting informed decision-making in the transition to sustainable energy.

What are some common challenges faced by professionals in energy system modelling, and how can they be addressed?

Professionals in energy system modelling often encounter challenges such as integrating large datasets from diverse sources, keeping up with rapidly evolving technologies, and ensuring that models accurately reflect real-world energy systems. Collaboration with interdisciplinary teams—including engineers, economists, and policy experts—is crucial for building robust models. Staying updated on the latest modelling tools, validation techniques, and regulatory developments can help address these challenges and enhance the reliability of modelling outcomes.

What is the difference between Energy System Modelling vs Energy Analyst?

AspectEnergy System ModellingEnergy Analyst
Required CredentialsEngineering or technical degrees, certifications in energy modelingDegree in energy, economics, or related fields; certifications vary
Work EnvironmentResearch labs, consulting firms, energy companiesUtilities, government agencies, consulting firms
Industry UsageDevelops models to simulate energy systems and scenariosAnalyzes energy data, reports, and market trends

Energy System Modelling involves creating detailed simulations of energy systems to evaluate performance and future scenarios, often requiring advanced technical skills. Energy Analysts focus on interpreting energy data, providing insights, and supporting decision-making. Both roles are essential in the energy industry but differ in scope and technical depth.

What cities are hiring for Energy System Modelling jobs?

Cities with the most Energy System Modelling job openings:

What other helpful pages are available for Energy System Modelling?

Other pages related to Energy System Modelling:

Infographic showing various Energy System Modelling job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $85,409 per year, or $41.1 per hour.

Senior Energy Market and Modelling Specialist

Union, NJ • On-site

Sigma Earth
See more jobs at Sigma Earthexternal

Other

Posted 11 days ago

Job description

Your Responsibilities

As an Energy Market Specialist, your primary focus will be on using and further developing Ramboll's European Electricity Market Model. You will also be involved in monitoring and analysing global energy commodity markets, contributing to the development of the Ancillary Service Market Model, and supporting the advancement of hybrid optimisation models for decentralised and behind-the-meter energy systems.

With energy systems becoming increasingly complex, there is a growing need for strong analytical expertise to identify challenges and recommend practical solutions. Ramboll supports a wide range of private and public sector clients by advising on both decentralised and centralised energy systems. Through a holistic approach, we analyse complex energy contexts and present them clearly using advanced energy system models applied across European and global markets.

As our new Energy Market Specialist, you will join the Advisory team within Ramboll Energy - Solutions for Industry. You will work closely with your immediate team as well as colleagues across the wider organisation. The role includes a broad range of tasks, and your specific responsibilities will depend on your expertise, experience, and professional development goals. You will be expected to take a leading role in developing and applying market models while also supporting and guiding less experienced team members.

Your key responsibilities will include:

  • Leading the continued development of Ramboll's hybrid optimisation and electricity market models.
  • Developing and maintaining Ramboll's European Electricity Market Model in collaboration with the team.
  • Planning, conducting, and reporting electricity spot market and ancillary service market studies for clients.
  • Analysing global energy commodity markets and assessing their impact on European energy markets and individual countries.
  • Leading or supporting feasibility studies in cooperation with other teams.
  • Supporting business development activities, including the preparation of client proposals.
  • Collaborating with Ramboll business units and teams across different geographies to integrate electricity and energy market modelling solutions into projects.
  • Managing multiple studies and workstreams in parallel with flexibility.
  • Preparing technical presentations and presenting findings to clients.
  • Managing small and medium-sized projects.
  • Contributing to the development of Ramboll's business strategy within these areas.
Your Profile and Competencies

We expect you to hold an academic degree in economics, engineering, or a related field, along with strong professional experience in electricity and energy market modelling and analysis. Ideally, you will have 5-10 years of relevant experience, preferably gained within a consultancy environment.

You should be comfortable working in a dynamic and collaborative setting and have a strong interest in continuously expanding your knowledge and technical capabilities.

Your education and/or professional background should include some or all of the following:

  • Experience in using and developing electricity market models.
  • Strong understanding of energy system analysis.
  • Proficiency in operations research applied to energy system modelling.
  • Extensive programming experience, particularly in Python.
  • Knowledge of energy planning.
  • Understanding of energy system technologies.
  • Strong data processing skills.
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