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- Tasks: Support energy analytics by preparing datasets and developing optimisation models.
- Company: Join Future Alternative Ltd, a leader in renewable energy consultancy.
- Benefits: Enjoy 25 days holiday, flexible working, and a competitive salary.
- Other info: Collaborative environment with opportunities for professional development and growth.
- Why this job: Make a real impact in the renewable energy sector while growing your skills.
- Qualifications: 3 years experience in data analysis, Python programming, and power systems.
The predicted salary is between 40000 - 50000 £ per year.
We are seeking a motivated person to join our team as a Data & Modelling Analyst, supporting quantitative studies and decision‑making analytics for energy developers, governments, and utilities.
Key Responsibilities
- Prepare, clean, and structure large datasets (e.g., market data, grid data, policy scenarios, techno‑economic parameters) for modelling and analysis.
- Develop and run mathematical optimisation and simulation models (e.g., capacity expansion, dispatch, storage optimisation, market simulations) using tools such as Python.
- Contribute to scenario analysis and policy evaluation for clients such as developers, ministries, regulators, and utilities.
- Build reproducible analytics pipelines and visualisation dashboards (e.g., notebooks, reports, BI tools) to communicate results clearly.
- Collaborate with senior consultants and client teams, participate in meetings, and translate modelling insights into actionable recommendations.
- Document processes and ensure data accuracy, with opportunities to align project work with academic research interests.
Required Qualifications
- 3 years work experience.
- Basic knowledge in power system analysis and electricity markets (generation mix, congestion, balancing, basic market design).
- Experience with mathematical modelling and optimisation (e.g., LP/MILP, stochastic or robust optimisation).
- Strong programming skills in Python (pandas, NumPy, SciPy, plotting libraries), experience with Power BI, and basic SQL.
- Experience in data analysis and visualisation, comfortable working with imperfect, real‑world data.
- Understanding of machine learning concepts and practical experience applying or scaling ML models for analytical or forecasting tasks.
- Good communication skills in English, with the ability to explain complex quantitative results to non‑technical stakeholders.
- Ability to work independently and organise yourself.
- Must be based in London or willing to relocate.
Preferred / Nice‑to‑Have
- Research or project experience in capacity expansion modelling, storage/flexibility modelling, market design analysis, or decarbonisation pathways.
- Familiarity with version control (Git), reproducible workflows, and collaborative coding practices.
- Interest in working with energy developers, TSOs/DSOs, regulators, or international organisations.
What We Offer
- Opportunity to work with leading renewable energy investors and asset managers.
- Exposure to diverse renewable technologies including wind, solar, and energy storage.
- Collaborative team environment with industry experts.
- Professional development and growth opportunities.
- Flexible working arrangements.
- Competitive compensation package.
Benefits
- 25 days holiday plus day off on your birthday.
- Standard company pension.
Flexible Working
We work remotely, visiting client sites as required (usually London based). Our team meets in person on a monthly basis. Flexible working week: core hours of 9am – 2pm for meetings. Work from abroad for up to a month per year.
Learning and Development
Dynamic and collaborative work environment with exposure to a wide array of clients and projects. Significant opportunity to develop commercial, modelling and analysis skills through on‑the‑job training and mentoring. Opportunities for professional growth and advancement within the consultancy.
Data & Modelling Analyst in London employer: Future Alternative Ltd
Contact Detail:
Future Alternative Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Modelling Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the energy sector on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python and visualisation tools. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data & Modelling Analyst 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 you've worked on. 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 the energy sector and how your background makes you a great fit for our team. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional or academic setting, make sure to mention them. We’re interested in your experience with modelling, optimisation, and data visualisation, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Future Alternative Ltd
✨Know Your Data Inside Out
Before the interview, make sure you’re familiar with the types of datasets mentioned in the job description. Brush up on how to prepare, clean, and structure large datasets, as well as any specific tools or techniques you’ve used in the past. Being able to discuss your experience with market data and policy scenarios will show that you’re ready to hit the ground running.
✨Show Off Your Modelling Skills
Be prepared to talk about your experience with mathematical optimisation and simulation models. Bring examples of projects where you’ve developed or run models using Python. If you can, demonstrate your understanding of capacity expansion or storage optimisation, as this will resonate well with the interviewers.
✨Communicate Clearly
Since the role involves translating complex quantitative results to non-technical stakeholders, practice explaining your past projects in simple terms. Think about how you can convey your findings effectively, perhaps by using visualisation techniques or dashboards you’ve created. This will highlight your communication skills and ability to collaborate with diverse teams.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s projects, team dynamics, or future goals in renewable energy. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career aspirations. Plus, it demonstrates that you’re proactive and engaged!