Data Scientist - Energy Market Analysis and Prediction

About the Role

We're hiring a Data Scientist - Energy Market Analysis and Prediction to join our innovative team remotely. This position offers a unique opportunity to work on cutting-edge technology that addresses the planet's energy challenges. As a Data Scientist, you'll play a crucial role in developing machine learning models that predict energy demand and automate decision-making processes across various assets.

What You'll Do

• Take ownership of your work from hypothesis to production, ensuring models are implemented effectively in real-world scenarios.
• Develop a deep understanding of energy markets and grid dynamics, enhancing your domain expertise.
• Write clean, production-quality Python code and collaborate closely with engineers to ensure seamless integration.
• Work with tools like Docker, GCP, and Streamlit to build and deploy your models efficiently.
• Engage with non-technical stakeholders to communicate insights and findings effectively.

Requirements

• Strong fundamentals in machine learning and experience in deploying models beyond notebooks.
• Proficiency in Python and a commitment to code quality.
• Ability to manage the full lifecycle of data science projects.
• Curiosity about energy systems, grids, and markets.
• Experience in time-series data analysis is a plus.

Nice to Have

• Background in power trading or electricity markets.
• Comfort working directly with clients.

What We Offer

• Competitive salary range of £60,000 - £120,000, commensurate with experience.
• Generous early-stage equity options.
• Opportunity to work in a fast-paced startup environment with a mission-driven team.
• Visa sponsorship available for qualified candidates.
• Flexible working arrangements with 2-3 office days per week in Central London.