Data Modeler

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., * 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

• 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.