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# Data Modeler

- **Company:** Digital Waffle
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Grid System, Data Analysis, Big Data, Data Visualization, Decision Support Systems, Python (Programming Language), Machine Learning, NumPy, Power BI, Standard Sql, SciPy, Git, Pandas
- **Published:** May 17, 2026
- **Apply:** https://find.jobs/jobs-near-me/data-modeler-city-of-london-london/2774757788-2/

## About the Role

* 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.

## Description

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


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