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.
Role: Data & Modelling Analyst
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.
”, “datePosted”: “2026-05-16”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Digital Waffle”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__434416288__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=4” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }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.
Role: Data & Modelling Analyst
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.
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