Data Scientist

Understanding Recruitment

London

On-site

GBP 60,000 - 80,000

Full time

14 days+

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Job summary

A high-calibre climate tech startup in London is hiring a Data Scientist to design and deploy forecasting models to help reshape the energy system. Ideal candidates will have a top-tier quantitative background and experience in time-series analysis and Python coding. This full-time role offers competitive compensation and meaningful equity in a fast-paced, mission-led environment.

Qualifications

  • Exceptional academic background in Maths, Physics, Engineering or CS.
  • Hands-on experience in time-series analysis or forecasting.
  • Strong coding ability with Python.

Responsibilities

  • Design, build, and deploy live forecasting models.
  • Solve complex forecasting problems using high-frequency datasets.
  • Work with traders and engineers to deliver models into production.

Skills

Time-series analysis
Forecasting
Python
Systems-level thinking
Commercial awareness

Education

Mathematics, Physics, Engineering, or CS from top institutions

Job description

Overview

We’re a high-calibre climate tech startup on a mission to decarbonise the grid. Backed by top-tier VCs and founded by ex-traders and quants, we’re building the real-time infrastructure that optimises energy flows across markets.

Now, we’re hiring a Data Scientist to design, build, and deploy live forecasting models that will help reshape the energy system.

The Opportunity
  • Solve complex forecasting problems using high-frequency, noisy datasets
  • Work directly with traders, engineers, and market experts to deliver models into production
  • Shape both product direction and strategy in a mission-led, fast-paced environment
  • Earn competitive compensation with meaningful equity in a high-growth startup
What We’re Looking For
  • Exceptional academic background (Maths, Physics, Engineering, or CS) from Oxbridge, Imperial, or top global equivalents
  • Hands-on experience in time-series analysis, forecasting, or signal processing
  • Strong coding ability (Python) with clean, production-ready practices
  • A systems-level thinker who combines technical depth with commercial awareness
  • (Bonus) Exposure to energy markets, trading, or large-scale optimisation problems

If you’re a data scientist with a top-tier quantitative background who thrives in high-bar environments (startups, big tech, finance) and wants to drive impact on the energy transition, we should talk.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • Technology, Information and Media and Energy Technology

London, United Kingdom

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