Lead Data Scientist – Energy Forecasting & Pricing

Volter; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid/flexible working

London office

Job summary

Volter, a climate-focused energy tech platform, is seeking a hands-on Data Scientist to own forecasting and pricing optimisation. You will develop time-series models, quantify uncertainty, and translate insights into decisions for customers and our energy portfolio.

You’ll own the full model lifecycle—from problem framing to production, monitoring and iterative improvement, in a growth-oriented startup. London-based hybrid working with autonomy and a strong impact are offered.

Qualifications

• 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.

Responsibilities

• Build, validate and deploy time-series models and matching optimization algorithms for customer demand and generation.
• Understand customer profiles and develop relevant features from inputs; set up robust back-tests and error attribution.
• Develop, maintain and improve pricing and trading decision engines to maximise PnL.
• Create reliable feature/data ETL pipelines and surface insights in the platform.
• Create risk and hedging analytics and scenario analysis tools.
• Design monitoring for model/data drift; manage model registries and experiment tracking.
• Drive new initiatives to improve business outcomes from a data science perspective from ideation to production.
• Communicate results clearly to non-technical stakeholders and build explainability into outputs.

Skills

Time-series forecasting

Python

SQL

Machine learning

Model deployment

Experiment tracking

MLOps basics

Uncertainty quantification

Tools

AWS

Terraform

MLflow

PyTorch/TF

Job description

Volter, a climate-focused energy tech platform, is seeking a hands-on Data Scientist to own forecasting and pricing optimisation. You will develop time-series models, quantify uncertainty, and translate insights into decisions for customers and our energy portfolio.

You’ll own the full model lifecycle—from problem framing to production, monitoring and iterative improvement, in a growth-oriented startup. London-based hybrid working with autonomy and a strong impact are offered.