Description
power modelling
data management
azure visualisation
analytical tools
data pipelines
stakeholder engagement
The offline modelling team at the National Energy System Operator supports planning and operations for the Great Britain Electricity Transmission System, maintaining and developing system models that cover time horizons from one hour ahead to twelve years. The team collaborates with transmission owners, distribution network owners, generators, and OEMs to exchange data and best practices, improving model accuracy and reliability.
- Lead power and energy system modelling, analysis and optimisation
- Direct data management and assurance to maintain modelling accuracy
- Build relationships and communicate modelling activities to stakeholders such as TOs, OEMs and Ofgem
- Deliver analyses and create visualisations using Azure cloud environments
- Develop and implement analytical tools and data pipelines for modelling efficiency
- Stay current with innovations in power system modelling, data science, and cloud technologies
- Engage users to gather requirements, ensure compliance, manage projects, and create training materials
Requirements
engineering degree
python
devops
power optimisation
simulation tools
project management
Candidates are expected to hold a relevant degree and possess knowledge of power‑system planning, optimisation, and techno‑economic assessment, alongside Python and DevOps skills. Desired experience includes advanced simulation tools, transmission or offshore network work, project management, and familiarity with optimisation methods such as LP or MILP.
- Hold a degree in Engineering, Computer Science, Maths or a related field
- Demonstrate knowledge of power‑system operation planning and modelling
- Experience in power‑system optimisation and techno‑economic assessments
- Proficient in Python development and DevOps practices
- Understand industry frameworks, codes, and technical challenges
- Exhibit critical thinking, constructive challenge of ideas, and strong communication, teamwork and influencing skills
- Proficient with power and energy system simulation tools and scripting for automation
- Industry experience in transmission or offshore network power system analysis
- Project management experience from inception to completion
- Knowledge of optimisation methods (LP, MILP) applied to power systems
Benefits
The role can be based in Wokingham or Warwick and offers hybrid working, with flexibility for full‑time, part‑time, or other adaptable arrangements. This reflects NESO’s commitment to supporting diverse working styles and personal well‑being.
NESO provides a competitive salary of £55,000‑£72,000, performance‑based bonus, 26 days of annual leave, a generous pension match, and extensive career‑development resources. The organisation promotes an inclusive community, a comprehensive Total Rewards Plan, and a culture that values diversity and employee growth.
- Salary range £55,000‑£72,000 per annum, dependent on experience
- Performance‑based bonus and 26 days of annual leave
- Competitive pension scheme with double match up to 12% company contribution
- Access to career development resources and training
- Inclusive, diverse community with a comprehensive Total Rewards Plan covering health, finance, work‑life balance, and career benefits
Training + Development
Information not given or found