Data Scientist (Modelling)

📋 Description

• Research and develop open-source models to decarbonise the energy system
• Build and extend models, analyse data, and build data pipelines in Python
• Work with energy datasets including national smart meter data and RCT data
• Maintain and improve our published models and data products
• Contribute to open-source tools, open data, and our published research
• Present work internally and at conferences and events

🎯 Requirements

• Understanding energy systems (electricity grids, balancing, markets)
• Experience building quantitative models (optimisation, simulation, ML)
• Comfortable with messy real-world data at scale (geospatial/household)
• Fluency in Python
• Software dev practices (git, testing, code review)
• Proactive curiosity and independent research with real-world impact

🎁 Benefits

• Unique culture with autonomy and co-ownership
• Salary discussed on call; flexible based on experience
• Access to Octopus Employee Benefits hub
• Inclusive, equal-opportunity employer