- London, England, United Kingdom
- Hybrid
- Full-time · Mid
Develop, maintain and enhance advanced optimisation and decision-support systems that maximise the performance, flexibility and commercial value of energy and industrial assets.
Responsibilities
- Develop and maintain automated optimisation and decision-support systems that maximise asset value by balancing operational constraints with commercial opportunities.
- Design, build and enhance optimisation, forecasting and analytical capabilities that improve operational and commercial performance.
- Build robust, production-grade Python applications and analytical services within our platform.
- Work with operational, engineering, commercial and product teams to understand business requirements and translate them into scalable analytical solutions.
- Lead best practice in software engineering, including testing, code quality, version control and CI/CD processes.
Requirements
- Degree in a quantitative discipline such as Engineering, Mathematics, Physics, Economics, Computer Science or a related field
- Nice to have: Knowledge of electricity, gas or other commodity markets
- Nice to have: In depth knowledge of the UK energy markets