Axle Energy - Data Science
Requirements
• 🐍 We do everything in Python, because it allows data scientists and engineers to collaborate closely and move quickly. Our data scientists write lots of production code. We ❤️ Streamlit. • 🎨 We try a bunch of things in Figma before we build them in code, because it's a fast and cheap way to get feedback. • 🐋 Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility. • ☁️ We deploy on GCP
Responsibilities
• Building, optimising, and deploying models that operate reliably at scale • Developing a deep understanding of energy markets, grid dynamics, and trading strategies • Taking ownership of the full lifecycle of your work, from research and prototyping through to production • Writing clean, production-quality code and contributing to robust, scalable systems • Working beyond notebooks, turning ideas into real-world, productionised solutions • It’d be nice if you could bring: • Knowledge of the electricity system, specifically power trading • Comfort speaking to clients (we’re a small team and we all wear many hats) • Familiarity with time-series data
Benefits
• In 5 sentences or less, share why you'd love to be part of our team. • Do you require visa sponsorship to work within the UK? • What is your notice period? • What causes the highest emissions? • A tonne of gold • A plastic straw • A 1 kg beef steak • A round-trip flight from NYC to London • Anything else we should know? • Submit Application • Axle Energy may use Artificial Intelligence with this application. Learn more.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT