About this role
At Octopus Energy Trading, we’re on a mission to reshape the future of energy. As part of Octopus Energy Group, we’re creating an innovative approach to trading that will accelerate the transition to a Net Zero world. With the growth of renewables and a push toward decarbonising heating and transport, greater flexibility in the grid is essential. We are building cutting-edge technology to optimise everything from domestic EV charging to grid-scale batteries, to meet the global demand for energy flexibility. We’re looking for passionate and unconventional thinkers to join us on this journey, bringing a diversity of experience and ideas to shape a more efficient, flexible, and sustainable energy system. Flexible assets - batteries, EVs, heat pumps, and more - are key to the reliable operation of low-carbon grids. Maximising the impact of these assets across electricity markets and grid services requires making thousands of highly complex, data-driven decisions. Octopus has always had a tech-first approach, and our trading and analytics tools are all built in-house. We are looking for a Battery Trading Data Scientist who's comfortable building trading and forecasting algorithms based on mathematical methods (numerical optimization, stochastic modeling, or ML techniques) and market expertise. This will include analysing market dynamics, building simulation, benchmarking and backtesting tools. Our team works closely with traders, data scientists and platform engineers to deliver end-to-end trading solutions.