Graduate Modelling Programme (Oxford)

Graduate Modelling Programme (Oxford)

Application Deadline: 23 November 2025

Department: Early Careers

Employment Type: Permanent - Full Time

Location: Oxford, UK

Description

Our Oxford Graduate Modelling Programme offers recent graduates the opportunity to work on high-impact projects while developing cutting-edge skills in one of Europe's most advanced energy system modelling teams.

As part of the programme, you'll have the chance to:

• Contribute to the global transition toward a cleaner, more affordable energy system
• Develop and apply sophisticated modelling techniques to real-world challenges
• Strengthen your problem-solving and analytical capabilities
• Be part of a diverse, ambitious, and supportive team
• Play a key role in a fast-growing, innovative company
• Shape public debate and support the strategic decisions of high-profile clients

Key Responsibilities

Our modelling team develops and maintains the energy models that power Aurora's subscription analytics, advisory services, and software tools-used by leading energy companies and investors around the world.

• Successful candidates will thrive in a fast-paced, collaborative environment, contributing to the continuous improvement of Aurora's models. You'll help design and implement scalable, maintainable code, champion modern software engineering practices, and play a key role in delivering high-quality, data-driven insights.
• We're looking for individuals with strong technical capabilities, proven reliability, and a track record of leadership in team-based settings.

If you're a recent graduate joining the Oxford modelling team, your first year will include:

• Rigorous training in our modelling methodologies and energy markets
• Hands-on contributions to some of the most sophisticated energy market models in the industry
• Direct involvement in live client projects as a technical modelling expert

What We Look For

We look for candidates who demonstrate the following qualities in their applications:

• A strong academic background in a quantitative discipline such as Mathematics, Physics, Engineering, Computer Science, or Economics
• Outstanding problem-solving skills and analytical thinking ability
• The ability to gather, interpret, and work with complex quantitative data
• Excellent interpersonal skills and a collaborative mindset
• Familiarity with at least one programming language (e.g. Python preferred , C++, MATLAB, R, or Java)

Desirable attributes:

• A relevant Master's degree or PhD
• Strong interest in energy markets and a belief in the value of well-designed models to support better decision-making
• Advanced proficiency in Python programming
• Knowledge of statistical methods and/or mathematical optimisation techniques

This role is based in the UK and so the successful candidate will need to have, or be able to secure and maintain appropriate right to work in the UK in the role. Under the current applicable immigration rules our Graduate Analyst roles are usually not eligible for Skilled Worker visa sponsorship.

Please, specify if any visa or relocation assistance will be required in the application form.

Application Deadline: Sunday 23rd November at 11:59pm (UK Time)

The assessment process will include:

• Numerical Assessments
• CV Review
• 1st Round Interviews
• Assessment Centre

What We Offer

• The opportunity to substantially influence major decisions in the energy sector
• Direct engagement with clients through Aurora conferences, workshops and webinars.
• The opportunity to grow into a publicly visible industry expert.
• A fun, informal and international work culture.
• An office in the centre of Oxford with coffee, fruit and snacks available in the office.
• A competitive salary package.
• Access to the Aurora Academy, our training programme offering a range of opportunities to develop your skills.

Some other benefits include:

• Private Medical Insurance
• Dental Insurance
• Parental Support
• Salary-Exchange Pension
• Employee Assistance Programme (EAP)
• Local Oxford Discounts
• Cycle-to-work Scheme
• Flu Jabs

At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in-office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process.

The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy and maternity.