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Octopus Energy Trading is seeking a Data Scientist to support their mission to reshape the future of energy through innovative trading technology. You'll work on forecasting electricity demand and renewable generation for the GB intraday power market, with expansion into Western Europe. This role combines classical and machine learning techniques to build data pipelines that drive market-leading trading insights.
Key responsibilities include:
- Exploring and identifying data sources needed for effective GB intraday power market trading
- Building, improving, and maintaining forecasting models for electricity demand and renewable generation
- Sourcing high-quality, novel data to enhance forecast accuracy
- Developing and refining forecasting frameworks and tools
- Automating forecasting processes with monitoring and alerting systems
- Creating price forecasts based on demand and generation models
- Collaborating with Trading, Renewables, Flexibility, and other teams to leverage combined knowledge
- Developing software and front-end systems within a small, collaborative team
Octopus Energy Trading operates with a tech-first approach, building all trading and analytics tools in-house. The team emphasizes collaboration, genuine care for colleagues, and a unique culture distinct from traditional trading floors. The company is actively encouraging applications from women to help increase representation in data science and trading roles, particularly in senior and leadership positions.
The role offers exposure to real-world impact, with models deployed directly into operations. You'll work on critical infrastructure supporting the transition to Net Zero energy systems, including optimization of EV charging, grid-scale batteries, and renewable integration.
Requirements:
- Proficiency in Python
- Strong understanding of forecasting techniques with ability to build baselines and iterate quickly
- Ability to communicate technical approaches, including strengths and limitations
- Capacity to quickly understand commercial and industry concepts
- Hands-on experience applying machine learning techniques
- Team-oriented mindset with enthusiasm for cross-functional impact
- Passion for driving toward Net Zero
- Keen to see models deployed in real-world operations
- Experience in the GB electricity industry is useful but not required
- No extensive trading or energy industry experience required; training and support provided
