About this role

Develop, improve and automate wind and solar power production indices, ensuring high accuracy and reliability.
Develop and improve energy demand indices.
Experiment with a range of modeling techniques to evaluate performance.
Explore methods to support both deterministic and statistical approaches to prediction.
Collaborate with software developers to integrate promising approaches into larger workflows.
Automate clients’ data cleaning techniques used as an input to ML models.

Fundamental knowledge of energy markets and renewable energy generation and demand modeling
Knowledge of meteorological datasets
Hands-on experience with machine learning libraries (scikit-learn, XGBoost, PyTorch, TensorFlow, or similar).
Strong skills in feature engineering for time-series or structured datasets.
Familiarity with statistical and ensemble methods.
Proficiency in Python, with strong analytical and data manipulation skills.
A solid knowledge of software development, ideally in C#
Excellent communication skills for liaising with internal teams and external stakeholders.
Please note all applicants must have the legal right to work in the UK. We are unable to sponsor visas for this role.

Data Scientist – Renewable Energy Modelling

Key skills