Data Scientist (Energy, Machine Learning)

TL;DR

Data Scientist (Energy, Machine Learning): Building and optimizing data pipelines and forecasting models for the GB intraday power market with an accent on utilising classical and ML techniques for market leading insights. Focus on exploring novel data sources, automating forecasting processes, and enhancing price forecasts.

Location: Hybrid in London, UK.

Company

hirify.global Trading is reshaping the future of energy by creating an innovative approach to trading to accelerate the transition to a Net Zero world.

What you will do

• Explore data needed to effectively trade the GB intraday power market.
• Build, improve, and maintain models for forecasting electricity demand and renewable generation (GB, Western Europe).
• Find high-quality, novel data sources for forecasts.
• Develop forecasting framework and tools.
• Maintain and automate forecasting processes, building in checks and alerting.
• Utilise forecasting models to build or enhance price forecasts.
• Collaborate with Trading, Renewables, and Flexibility teams.

Requirements

• Experience with Python is essential.
• Good understanding of forecasting techniques and ability to quickly iterate.
• Ability to communicate your approach, including strengths and limitations.
• Able to quickly understand commercial and industry concepts.
• Team player excited at the idea of ownership across different projects.
• Passion for driving towards Net Zero.
• Experience with Machine Learning is essential.

Nice to have

• Experience in the electricity industry in GB.

Culture & Benefits

• Unique culture where people learn, decide, and build quicker with autonomy.
• Recently named the UK's top company to work for and ranked in the top ten in the Sunday Times Best Places to Work 2024.
• Committed to providing equal opportunities, an inclusive work environment, and fairness for everyone.