As an AI Research Scientist, you will do the pre-training research behind the Energy Foundation Model: one model, trained on generation, the grid, demand, weather and price together, that learns the relationships between them that a human analyst would never think to write down. Today we model each forecasting problem separately; you will work out how a single model should be built and trained, and show that it works. We have data nobody else can buy, including household-level consumption from hundreds of thousands of UK homes, which outside trading firms cannot get. The work is research: experiments, evidence and papers that shape how we forecast, hedge and trade.
Requirements- Do the pre-training research for the Energy Foundation Model
- Design the architecture, inputs and training objectives for one model across generation, grid, demand, weather and price data
- Run pre-training experiments and find what actually improves results
- Build rigorous evaluations and honest backtests, with calibrated uncertainty
- Train on household-level data without leaking personal information
- Write up findings as research, and work with our quants and engineers who take the model into production
Benefits- Competitive salary and eligibility for equity
- Biannual bonus scheme
- Fully expensed tech to match your needs
- Private health insurance
- Breakfast and dinner allowance for office-based employees
As we hire globally, benefits vary by location.
