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Gridcog Modeller

The Recruitment Crowd (Yorkshire) Limited

West Midlands

On-site

GBP 40,000 - 60,000

Full time

Today
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Job summary

A recruitment agency is looking for a highly analytical Gridcog Modeller to join a solar engineering and design team in the UK. The successful candidate will utilize Gridcog and other tools to simulate and optimize commercial solar and energy systems. Responsibilities include refining models, analyzing datasets, and conducting simulations to impact project development. This role offers the chance to work closely with technical teams and contribute to the field of renewable energy.

Qualifications

  • Strong analytical skills required for evaluating grid constraints and forecasting system behaviour.
  • Experience with renewable energy modelling or energy system optimisation is essential.

Responsibilities

  • Build, refine, and optimise Gridcog models for commercial solar PV and hybrid energy systems.
  • Conduct scenario simulations to evaluate energy generation and system performance.

Skills

Analytical skills
Data-driven design
Renewable energy knowledge

Tools

Gridcog
Job description

Our client are seeking a highly analytical and innovative Gridcog Modeller to join their commercial solar engineering and design team. In this role, you will use Gridcog and other modelling tools to simulate, analyse, and optimise commercial solar, battery storage, and energy system performance. Your work will play a critical part in evaluating grid constraints, forecasting system behaviour, and supporting feasibility studies to guide strategic project decisions.

This is an exciting opportunity for an individual passionate about renewable energy modelling, system optimisation, and data-driven design. You will work closely with technical, development, and commercial teams to produce accurate, reliable, and actionable modelling insights that directly influence project development and client proposals.

Responsibilities
  • Build, refine, and optimise Gridcog models for commercial solar PV, battery storage, EV charging, and hybrid energy systems.
  • Analyse site‑specific and grid‑related datasets including load profiles, export constraints, and DNO information to inform modelling assumptions.
  • Conduct scenario simulations to evaluate energy generation, storage behaviour, grid export limits, financial outcomes, and system performance.
  • Work collaboratively with engineering, design, commercial, and development teams to integrate modelling outputs into prop...
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