At a Glance
- Tasks: Analyse and model data for renewable energy projects using Python and optimisation techniques.
- Company: Specialist renewable energy advisory firm focused on impactful projects.
- Benefits: Competitive salary, hybrid working, and opportunities to work on meaningful energy solutions.
- Other info: Collaborative environment with a focus on professional growth and sustainability.
- Why this job: Join a team tackling real-world energy challenges and drive the transition to renewable energy.
- Qualifications: 3 years' experience in data analysis, strong Python skills, and knowledge of energy systems.
The predicted salary is between 40000 - 50000 € per year.
A specialist renewable energy advisory firm is hiring a Data & Modelling Analyst to support quantitative analysis and modelling across major energy and infrastructure projects. This is a highly analytical role focused on energy systems, optimisation modelling and data-driven decision making. You will work closely with developers, utilities, investors and government bodies on projects related to renewable energy, storage, market design and decarbonisation.
Salary: Competitive, dependent on experience
Location: London, hybrid working (typically once per week onsite or less)
What you’ll be doing:
- Prepare, structure and analyse large datasets across energy markets, grid systems and policy scenarios
- Build and run mathematical optimisation and simulation models using Python
- Support analysis across areas such as storage optimisation, dispatch modelling and market simulations
- Develop dashboards, notebooks and reporting outputs to communicate modelling insights clearly
- Contribute to scenario analysis and strategic recommendations for clients across the renewable energy sector
- Work closely with senior consultants and external stakeholders on complex analytical projects
- Help improve reproducibility, data workflows and modelling processes across the business
What you’ll need:
- Around 3 years’ commercial experience within data analysis, modelling or energy analytics
- Strong Python skills including pandas, NumPy, SciPy and data visualisation libraries
- Experience with mathematical optimisation or modelling techniques such as LP/MILP
- Understanding of electricity markets, power systems or renewable energy environments
- Experience with Power BI and basic SQL
- Comfortable working with large, imperfect real-world datasets
- Ability to explain complex analytical findings to non-technical stakeholders
- Self-sufficient and organised working style
Nice to have:
- Experience within energy modelling, storage optimisation or decarbonisation projects
- Understanding of machine learning concepts or forecasting models
- Familiarity with Git and collaborative coding workflows
- Interest in renewable energy, climate technology and energy transition projects
This role would suit someone who enjoys combining technical modelling skills with real-world energy challenges, and who wants to contribute to projects supporting the transition to renewable energy.
Fully Remote Data in London employer: Digital Waffle
As a leading renewable energy advisory firm, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a meaningful impact in the transition to sustainable energy. With competitive salaries, flexible hybrid working arrangements, and ample opportunities for professional growth, our Data & Modelling Analyst role offers a unique chance to engage with diverse stakeholders while contributing to cutting-edge projects in the renewable sector. Join us in London and be part of a team that values analytical excellence and is dedicated to driving positive change in the energy landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Fully Remote Data in London
✨Network Like a Pro
Get out there and connect with people in the renewable energy sector! Attend industry events, webinars, or even local meetups. The more you engage with professionals, the better your chances of landing that Data & Modelling Analyst role.
✨Show Off Your Skills
Create a portfolio showcasing your data analysis projects, especially those related to energy systems or optimisation modelling. Share it on platforms like GitHub or your personal website, and don’t forget to link it in your applications!
✨Ace the Interview
Prepare for technical interviews by brushing up on Python, optimisation techniques, and data visualisation. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying directly through us not only gives you access to exclusive roles but also shows your commitment to joining the renewable energy revolution!
We think you need these skills to ace Fully Remote Data in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data & Modelling Analyst role. Highlight your experience with Python, data analysis, and any relevant projects in renewable energy. 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! Use it to explain why you're passionate about renewable energy and how your background makes you a great fit for our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your technical skills, especially in Python and data visualisation. If you've worked with optimisation models or large datasets, let us know! We’re keen on seeing how you can contribute to our analytical projects.
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 Digital Waffle
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets relevant to the role. Brush up on your experience with large datasets, especially in energy markets and grid systems. Be ready to discuss specific examples of how you've structured and analysed data in previous roles.
✨Show Off Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your proficiency. Bring along examples of optimisation models or data visualisations you've created using libraries like pandas and NumPy. You might even be asked to solve a coding challenge, so practice beforehand!
✨Communicate Complex Ideas Simply
You’ll need to explain your analytical findings to non-technical stakeholders, so practice simplifying complex concepts. Think about how you can present your modelling insights clearly and concisely, perhaps through a mock presentation or by explaining your work to a friend.
✨Be Ready for Scenario Analysis Discussions
Familiarise yourself with scenario analysis and strategic recommendations in the renewable energy sector. Prepare to discuss how you would approach different scenarios and what factors you would consider when making recommendations to clients.
