Data Scientist

Understanding Recruitment; Nottingham; Hybrid; GBP 40,000 - 70,000; Full time

Job summary

A climate tech startup is seeking a Data Scientist to develop time-series forecasting models that influence energy trading decisions. This hybrid role in London allows for impactful work reducing carbon emissions while collaborating with engineers and quants in a dynamic environment.

Qualifications

• Solid Python skills and experience writing production-quality code.
• Comfortable working with time-series data and forecasting problems.
• Interest in the energy sector and/or power markets.

Responsibilities

• Own forecasting models and collaborate with quants and engineers.
• Directly influence energy usage and trading decisions.
• Work in a small, focused team with room for initiative.

Skills

Python

Time-series data

Forecasting

Collaboration

Tools

Streamlit

Docker

GCP

Figma

Job description

Nottingham, East Midlands, United Kingdom

Posted today

Full Job Description

Data Scientist – Climate Tech | Time-Series Forecasting &Power Trading | London Hybrid | £Competitive + Equity

I'mworking with a climate tech startup that's helping to reshape how theenergy grid works. They're hiring a data scientist to focus ontime-series forecasting and work closely with a new quant team that'sbuilding out a power trading desk.

This isn’t aresearch role. Their platform already controls tens of thousands ofreal-world assets like EVs, heat pumps, and batteries. The models youbuild will go into production and directly influence energy usage andtrading decisions.

Why this role might be a goodfit:

• You'll own forecasting models
• You'llwork side by side with quants and engineers on a brand-new tradingdesk
• Your work will have a direct impact on carbon reductionand system efficiency
• It’s a small, focused team where you’llhave room to take initiative and make things happen

The role is hybrid, with 2–3 days a week in the London office

Tech stack includes Python, Streamlit, Docker, GCP, andFigma

What they’re looking for:

• Solid Python skills and experience writingproduction-quality code
• Comfortable working with time-seriesdata and forecasting problems
• Interest in the energy sectorand/or power markets
• A collaborative mindset and the abilityto work across teams
• Bonus if you’ve worked in energy tradingor have experience in a quant or client-facing environment

If you're excited about forecasting, energysystems, and seeing your work go live in the real world, this is agreat place to do it.