About the Job
Data-Driven. Impact-Focused.
We’re looking for a Junior Data Analyst to join our London-based hybrid team, supporting the development of cutting-edge energy forecasting models used by major players in the power and utilities space.
This is a unique opportunity for a recent graduate or early-career analyst with a strong grounding in Python, SQL, and time series analysis to step into a role that sits at the intersection of data science, renewable energy, and market intelligence. You’ll work on forecasting models that help power traders, asset managers, and infrastructure developers navigate the fast-moving, high-stakes world of modern energy systems.
If you have a background in economics, econometrics, data science, or a similar analytical field—and you're passionate about energy, sustainability, or forecasting—we want to hear from you.
What’s in it for you?
⚡ Real-World Impact: Build models that directly support day-ahead energy trading and renewable forecasting.
💻 Modern Tech Stack: Work with Python, SQL
🌱 Sector Growth: Contribute to the decarbonisation of the energy system through smarter forecasting.
📍 Hybrid Work: Based in London with flexible office/home balance.
🧠 Collaborative Environment: Work with domain experts and technologists who know power markets inside out.
💼 Strong Foundation: Ideal launchpad for a career in data science, energy analytics, or financial modelling.
What We’re Looking For:
* A BSc or MSc in Economics, Econometrics or Mathematics
* Working knowledge of Python and SQL for data analysis and model development.
* Interest or exposure to time series forecasting, energy markets, or sustainability.
* Strong communication skills
* Proactive mindset, attention to detail, and a willingness to learn fast in a dynamic environment.
💰 Salary: £35,000
📍 Location: London (hybrid)
📆 Start Date: ASAP