Data Scientist

You’ll lead our data science work, including owning forecasting and pricing optimisation: producing accurate half-hourly demand and generation forecasts, shaping prices, quantifying uncertainty and translating it into simple decisions for customers and our supply portfolio. You’ll own the full model lifecycle-from problem framing and baselines to productionisation, monitoring and iterative improvement.

You are a self-starter who excels both independently and in a team. You dislike corporate structure and bureaucracy, and believe in a “best idea wins” culture. This is why you prefer a growth-oriented, flat, startup environment.

A desire to keep learning and having an impact is very important to you. You fear looking back in 10 years time and realising you never made a difference…that you were simply a tiny cog in a large machine that will churn on with or without you.

️ Day-to-day responsibilities

• Build, validate and deploy time-series models (including probabilistic where useful) and matching optimisation algorithms for customer demand and generation and constantly improve model performance
• Understand customer profiles and develop relevant features from HHD, weather, calendar and price inputs; set up robust back-tests and error attribution
• Develop, maintain and improve pricing and trading decision engines to maximise PnL
• Alongside engineering, create reliable feature/data ETL pipelines, and partner with product to surface insights in the platform
• Create risk and hedging analytics (e.g., shape/volume error distributions, scenario analysis, what-if tools)
• Design monitoring for model/data drift; manage model registries and experiment tracking
• Be responsible for driving new initiatives to improve business outcomes from a data science perspective and be able to drive and own from idea to scoping, production and maintaining
• Communicate results clearly to non-technical stakeholders; build explainability into outputs

• 4-8+ years in Data Science/ML with a focus on time-series forecasting and decision analytics
• Strong Python (pandas, NumPy, scikit-learn, statsmodels; PyTorch/TF a plus) and SQL; rigorous evaluation (MAE/RMSE, MAPE, pinball loss)
• Experience productionising models (APIs/batch jobs), experiment tracking (e.g., MLflow) and basic MLOps
• Being able to evaluate the right tools for the job given business requirements & experiment with new ways of doing things to continuously improve
• Comfort combining statistical baselines with ML methods (gradient boosting, GLMs, probabilistic models)

We need a hands-on lead who can ship useful forecasts and iterate quickly without a big platform team. Energy experience accelerates you, but we’ll value evidence that you can master domain context fast and build pragmatic, explainable models that survive contact with production.

Stand-out candidates will have experience in…

• GB energy markets (half-hourly settlement, weather-driven load, network tariffs) and portfolio risk analytics
• Experience with AWS and infrastructure (eg Terraform)
• Experience and willingness to surface insights in relevant UIs/products
• Forecast explainability, uncertainty quantification and decision tooling for non-technical users
• Optimisation (LP/MIP) for hedging or tariff design, * Curious, pragmatic and outcome-driven.
• You love shipping models that make decisions better today rather than making them better tomorrow.
• You are energised by early-stage businesses, are adaptable and thrive within startup environments.
• You have a strong bias toward action and having an impact quickly. You want to get sht done.
• You are a self-starter and autonomous in your way of working, but ultimately believe a team can get further together than any individual.
• You communicate clearly and keep things as simple as possible., * A dynamic and fast-changing environment with incredible responsibility and autonomy
• Working directly with and learning from experienced startup founders who’ve invested in and scaled businesses up to several billion dollars in valuation
• The ability to build and own something from the very beginning
• Working on market-leading and genuinely impactful products that help solve the climate crisis
• A kick-ass team of colleagues
• We value in person time at our office in London but offer hybrid/flexible working

• Competitive compensation based on candidate profile with generous employee equity

Volter is a top-tier climate VC-backed B2B energy tech platform building the products that make clean, renewable power simple for businesses everywhere. The energy transition is a huge and vital opportunity, but it’s currently too difficult for commercial & industrial companies to achieve. Historically, the energy industry has been too opaque, complex and lacking in trust. We’re fixing that. Our aim is to be the “Octopus Energy for industry”: a modern tech platform providing new renewable energy products with radical transparency - accelerating deployment of renewables and helping customers cut cost and carbon without complexity.