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- Tasks: Shape the future of decarbonised infrastructure through advanced energy modelling and optimisation.
- Company: Fast-scaling clean-tech startup with a focus on net-zero solutions.
- Benefits: Remote-first work, career progression, and influence on real-world decisions.
- Why this job: Join a high-impact team and apply your skills to tackle climate challenges.
- Qualifications: Experience in energy systems modelling and strong mathematical foundations.
- Other info: Opportunity for mentorship and clear pathways to leadership roles.
The predicted salary is between 36000 - 60000 £ per year.
Remote-first (UK) | Occasional London travel | High-growth Tech Startup
Are you an experienced Energy Modeller ready to shape the future of decarbonised infrastructure? An award-winning, fast-scaling clean-tech company is hiring a Senior Energy Modeller to play a key role in building next-generation optimisation and forecasting tools that support multi-year, high-resolution energy planning. Their platform is already trusted by major cities, utilities, and infrastructure stakeholders to inform critical investment decisions across power, heat, buildings, and transport. This is a high-impact role in a growing team where ownership, autonomy, and progression are genuine.
The Role:
You’ll sit at the intersection of energy systems, optimisation theory, and product development. This role is deeply quantitative — strong foundations in linear algebra and mathematical optimisation are essential. Working closely with clients, data scientists, and software engineers, you’ll design and implement advanced modelling solutions that enable smarter, faster infrastructure decisions.
You’ll be responsible for:
- Translating complex stakeholder requirements into structured mathematical modelling frameworks
- Designing and refining optimisation algorithms (LP, MILP, convex optimisation, dynamic programming)
- Applying linear algebra techniques to large-scale, high-resolution energy system models
- Developing multi-year forecasting models across power, buildings, heat, and transport
- Integrating modelling outputs into cloud-based software platforms
- Producing clear technical and non-technical documentation
- Researching trends in decarbonisation, flexibility markets, and long-term system planning
- Mentoring junior team members and contributing to modelling best practice
What We’re Looking For:
- Strong experience in energy systems modelling (power markets, low‑carbon tech, building simulation, network optimisation, or integrated energy systems)
- Deep understanding of linear algebra and optimisation methods
- Hands‑on experience implementing optimisation models in Python (e.g. Pyomo, CVXPY, Gurobi, or similar)
- Good grasp of software engineering principles (version control, modular design, testing)
- Analytical mindset with a genuine interest in the energy transition
Why Join?
- Work on technology actively shaping net‑zero infrastructure investment
- Influence real‑world decisions at city and utility scale
- Join a high‑growth environment with genuine progression potential
- Remote‑first flexibility with collaboration hubs in London & Cambridge
- Clear pathway toward technical leadership or product/commercial influence
If you’re looking to move beyond isolated modelling work into a role with visibility, influence, and long-term growth — this is an opportunity to apply deep mathematical thinking to one of the most important challenges of the next decade.
Senior Energy Modeller | ClimateTech Scale Up employer: Oho Group Ltd
Contact Detail:
Oho Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Energy Modeller | ClimateTech Scale Up
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your modelling projects and optimisation algorithms. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research the company and its projects, especially in decarbonisation and energy systems. Be ready to discuss how your experience aligns with their goals and how you can contribute to their mission.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Energy Modeller | ClimateTech Scale Up
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Energy Modeller. Highlight your experience in energy systems modelling and any relevant optimisation techniques you've used. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about decarbonisation and how your background makes you a perfect fit for our team. Let us know what excites you about working at a high-growth tech startup like ours.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with Python and any optimisation libraries you've worked with. We’re looking for someone who can hit the ground running, so make sure we see your technical prowess right from the start!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Oho Group Ltd
✨Know Your Maths
Brush up on your linear algebra and optimisation methods before the interview. Be ready to discuss how you've applied these concepts in real-world scenarios, especially in energy systems modelling.
✨Showcase Your Coding Skills
Prepare to talk about your hands-on experience with Python and any optimisation libraries like Pyomo or Gurobi. Consider bringing a portfolio of past projects or examples that demonstrate your coding prowess and problem-solving abilities.
✨Understand the Company’s Impact
Research the company’s role in decarbonisation and how their technology influences infrastructure investment. Being able to articulate why you’re passionate about their mission will set you apart from other candidates.
✨Prepare for Technical Questions
Expect deep technical questions related to optimisation algorithms and energy modelling. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with both technical and non-technical stakeholders.