Energy Modelling Analyst
- Develop and maintain Aurora’s suite of energy market models
- Work closely with our software and engineering teams to turn Aurora’s models into software that delivers actionable insight for real‑world energy decision
- Collaborate with our research and consulting teams to derive insights from model results
- Contribute to continuously improving how the modelling team operates
- Relevant degree in Physics, Engineering, Mathematics, Computer Science, Economics or another quantitative field
- A genuine enjoyment of working through complex problems and the ability to explain your reasoning clearly
- Experience working with quantitative data through coursework, projects, or internships, including analysing data and drawing insights
- Familiarity with at least one programming language, such as Python or similar
- Strong communication and collaboration skills
- Proficiency in English
- Relevant Master’s degree or PhD
- Internship, research, or work experience in a quantitative or technical setting
- An interest in energy markets and how well-designed models improve real-world decisions
- Knowledge of statistical and/or optimization techniques
- Comfortable using AI tools to support coding and analysis, with a critical eye for reviewing AI-generated outputs
- A fun, informal, collaborative and international work culture
- A competitive salary package
- Access to regular coaching and mentoring sessions and the opportunity to learn from experienced professionals
- Access to the Aurora Academy, our training programme offering a range of opportunities to develop your skills within the responsibilities of your role and within the wider context of the industry
- Access to our Employee Assistance Programme (EAP), offering a complete support network that offers expert advice and compassionate guidance 24/7/365, covering a wide range of personal and professional aspects
The successful candidate would start as soon as possible. The team will review applications as they are received. Salary will be competitive with experience.