Data Modeler

Digital Waffle
Charing Cross, United Kingdom
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Charing Cross, United Kingdom

Tech stack

Grid System
Data analysis
Big Data
Data Visualization
Decision Support Systems
Python
Machine Learning
NumPy
Power BI
Standard Sql
SciPy
GIT
Pandas

Job 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

Requirements

  • 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.

Apply for this position