A highly impactful data scientist position is available to develop cutting-edge real-time market forecasting models that inform strategic trading decisions.
Responsibilities include building live systems with mission-critical reliability and high-stakes impact. Prediction errors directly affect performance and profitability.
Key Responsibilities:
* Production Forecasting Models: Develop sophisticated real-time forecasting models for power markets supporting high-value trading decisions.
* Mathematical Optimisation and Machine Learning: Combine multiple techniques for maximum accuracy in mathematical optimisation and machine learning solutions.
* Trading System Design: Design and maintain robust trading systems with real-time data processing and automated model updates.
Essential Requirements:
* Several years' experience in energy forecasting or algorithmic trading within power markets.
* Strong mathematical optimisation, machine learning, and statistical modelling background.
* Production-level programming skills in Python, Java, or C#.
* Experience with power market fundamentals and trading strategies.
* System architecture and platform development expertise.
* Commercial awareness and stakeholder management skills.
Highly Valued Skills:
* Experience with power markets (day-ahead, intraday).
* Stochastic programming and optimization solvers expertise.
* Time series forecasting and ensemble methods knowledge.
* Energy trading environment exposure.
About the Role:
* Built forecasting models for power markets at a trading house, utility, or energy consultancy.
* Moved beyond pure research into production system development.
* Strong technical skills and a clear understanding of business impact.
This role involves real-time decision-making responsibility in a front-office setting.