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For Companies At a Glance
- Tasks: Analyse data and develop models to support energy decision-making and market insights.
- Company: Join a leading consultancy in renewable energy with a collaborative team culture.
- Benefits: Enjoy flexible working, competitive pay, 25 days holiday, and professional development opportunities.
- Other info: Work remotely with occasional client site visits and monthly team meet-ups.
- Why this job: Make a real impact in the renewable energy sector while honing your analytical skills.
- Qualifications: Experience in data analysis, Python programming, and knowledge of power systems is essential.
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. The role combines data analysis, power system modelling, and mathematical optimisation to deliver actionable insights on market design, flexibility, and system planning. This position offers hands‑on experience with real‑world energy data and analytical tools.
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 oneself.
- 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 meet 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 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
✨Network Like a Pro
Get out there and connect with people in the 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 and modelling projects. Use GitHub to share your code and visualisations. This not only demonstrates your skills but also gives potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by brushing up on your technical knowledge and practising common interview questions. Be ready to discuss your experience with Python, optimisation models, and how you've tackled real-world data challenges. Confidence is key!
✨Apply Through Our Website
Don't forget to apply directly through our website! It shows you're genuinely interested in joining our team at StudySmarter. Plus, it makes it easier for us to spot your application and get you in for an interview.
We think you need these skills to ace Data & Modelling Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data & Modelling Analyst role. Highlight your programming skills in Python, experience with data analysis, and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about energy analytics. Share specific examples of how you've tackled similar challenges in the past and how you can contribute to our team.
Showcase Your Technical Skills: Don’t forget to mention your experience with mathematical modelling and optimisation. If you've worked with tools like Power BI or have knowledge of SQL, make sure to include that too!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
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 hands-on experience with real-world energy data will impress the interviewers.
✨Show Off Your Modelling Skills
Be ready to talk about your experience with mathematical optimisation and simulation models. Prepare examples of projects where you’ve developed or run models using Python. If you can share insights on how your modelling has led to actionable recommendations, that’ll definitely catch their attention!
✨Communicate Clearly
Since the role involves translating complex quantitative results to non-technical stakeholders, practice explaining your past work in simple terms. Think of a few examples where you successfully communicated technical concepts to a diverse audience. This will demonstrate your strong communication skills, which are crucial for this position.
✨Be Ready to Collaborate
The job requires collaboration with senior consultants and client teams, so be prepared to discuss your teamwork experiences. Share examples of how you’ve worked independently while also contributing to group projects. Highlighting your ability to balance both will show that you’re a great fit for their collaborative environment.