Data & Modelling Analyst at Future Alternative

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

07 Jul, 26

Salary

0.0

Posted On

08 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data analysis, Power system modelling, Mathematical optimisation, Python, Pandas, NumPy, SciPy, Power BI, SQL, Machine learning, Capacity expansion modelling, Market design, Decarbonisation pathways, Git, Data visualisation, Communication

Industry

Business Consulting and Services

Description

Company Description About Us: Future Alternative is a leading Renewable Energy Valuation & Analysis advisory firm dedicated to empowering companies with a comprehensive understanding of their business's value drivers. The company was founded by Clare MacGregor, who brings a wealth of experience and significant expertise in Renewable Energy valuation and analysis, from Numeritas, Vattenfall, Low Carbon and TCI Renewables. Clare started Future Alternative in order to meet the increasing demands for specialist skills in this area, and to allow her to work flexibly without compromising her family life. Our team excel in creating advanced models and processes, whilst offering invaluable support in pricing, and negotiating power purchase agreements (PPAs), hydrogen supply and purchase agreements (HSPAs), and other strategic commercial ventures. We pride ourselves on our high levels of expertise and our client-centred approach. Our Culture Everybody here cares about climate change, and we are passionate about increasing the take up of renewable energy. There’s no such thing as 9 to 5! When we have work to do, that is the priority and we are 100% focused on delivering. When it’s quiet, there’s no need to be “at your desk”. It all evens out in the end. We tend to keep all meetings between 9am and 2pm, whether internally or with clients, allowing for flexible working, school pick-ups, or focused afternoons without interruptions. We celebrate complexity! We analyse it in our jobs, and we recognise it in our lives. We believe diversity and inclusivity enables us to be more creative, more flexible, to think broader and to reach further. We want everybody to be comfortable in being themselves at work. Job Description Role Overview 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. Qualifications 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. Additional Information 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 This role is ideal for someone looking to combine their data analytics skills with a passion for renewable energy and sustainability. You'll be joining a team that's making a tangible impact on the energy transition while developing cutting-edge data solutions for complex business challenges. 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. Hiring and Interview Process Initial online meeting with Talent Acquisition/HR. Focus on current situation, high level experience, motivations. Online interview with Hiring Manager focusing on technical skills and experience Assessment task: Example case study to be presented back to the team. Face to face.

Responsibilities

The role involves preparing and structuring large datasets while developing mathematical optimisation and simulation models for energy systems. You will contribute to scenario analysis and policy evaluation, translating complex modelling insights into actionable recommendations for clients.