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- Tasks: Use Gridcog to model and optimise commercial solar and energy systems.
- Company: Join a forward-thinking team in renewable energy engineering.
- Benefits: Gain hands-on experience, competitive pay, and work on impactful projects.
- Why this job: Make a difference in renewable energy while developing your analytical skills.
- Qualifications: Experience with energy modelling tools and strong analytical abilities required.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
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 proposals, feasibility studies, and client presentations.
- Validate modelling results, ensuring accuracy, real-world relevance, and compliance with industry practices and grid regulations.
- Maintain clear and detailed documentation for modelling methodologies, parameters, and results.
- Continuously improve modelling workflows based on new Gridcog features, industry standards, system technology updates, and regulatory changes.
- Present modelling findings in a clear and accessible way to both technical and non-technical stakeholders, including clients.
Qualifications & Experience
- Proven experience in energy system modelling, grid analysis, or simulation within renewables, utilities, or engineering sectors.
- Hands-on experience with Gridcog or similar modelling platforms (e.g., PVSyst, HOMER, MATLAB, Python-based modelling tools).
- Strong analytical skills with the ability to interpret and manipulate complex datasets, including time-series energy data.
- Strong organisational skills and meticulous attention to detail.
- Ability to work independently and collaboratively across multidisciplinary teams.
- A degree in engineering, renewable energy, data science, or a related field is preferred.
- Desirable experience includes: optimisation algorithms and system performance modelling, commercial solar or battery storage project experience, familiarity with IEC/IEEE energy standards and UK grid connection processes, understanding of DNO/DSO grid requirements and constraints.
Gridcog Modeller in Watford employer: The Recruitment Crowd (Yorkshire) Limited
Contact Detail:
The Recruitment Crowd (Yorkshire) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gridcog Modeller in Watford
✨Tip Number 1
Network like a pro! Reach out to professionals in the renewable energy sector on LinkedIn or at industry events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your modelling projects, especially those using Gridcog or similar tools. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of grid analysis and energy system modelling. We recommend practising common interview questions and being ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Gridcog Modeller in Watford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Gridcog Modeller role. Highlight your experience with energy system modelling and any relevant tools like Gridcog, PVSyst, or MATLAB. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for renewable energy and explain why you're excited about this role. We love seeing candidates who can connect their experiences to our mission at StudySmarter.
Showcase Your Analytical Skills: Since this role requires strong analytical skills, be sure to include examples of how you've interpreted complex datasets in the past. We want to know how you approach problem-solving and data-driven design!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the Gridcog Modeller position. We can't wait to see what you bring to the table!
How to prepare for a job interview at The Recruitment Crowd (Yorkshire) Limited
✨Know Your Modelling Tools
Make sure you’re well-versed in Gridcog and any other modelling platforms mentioned in the job description. Brush up on your skills and be ready to discuss specific projects where you've used these tools. This shows you’re not just familiar but also experienced.
✨Understand the Energy Landscape
Familiarise yourself with current trends in renewable energy, especially around solar PV and battery storage. Be prepared to discuss how grid constraints and DNO information impact modelling. This will demonstrate your passion and knowledge about the industry.
✨Prepare for Scenario Simulations
Think of examples where you’ve conducted scenario simulations. Be ready to explain your thought process, the datasets you used, and how your findings influenced project decisions. This will highlight your analytical skills and practical experience.
✨Communicate Clearly
Practice presenting complex modelling results in a straightforward way. You might be asked to explain your findings to non-technical stakeholders, so being able to simplify your insights is key. This shows you can bridge the gap between technical and commercial teams.
