Oxford Energy Modelling Graduate Programme 2027

Aurora Energy Research

Oxford

Hybrid

GBP 32,000 - 42,000

Full time

7 days ago
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Benefits offered by this job

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

Job summary

Aurora Energy Research in Oxford is recruiting for a Graduate Modelling Programme. You will develop and maintain energy market models, work with software teams to convert models into actionable tools, and contribute to client-facing insights, within a structured training path.

Ideal candidates bring a quantitative degree, programming exposure (Python or similar), and strong English communication. The role is hybrid with in-office and home working in the UK.

Qualifications

  • Relevant degree in a quantitative field such as Physics, Engineering, Mathematics, Computer Science or Economics.
  • Experience with quantitative data through coursework, projects or internships.
  • Proficiency in at least one programming language (e.g., Python).
  • Strong communication and collaboration skills with clear reasoning.

Responsibilities

  • Develop and maintain Aurora’s energy market models.
  • Collaborate with software/engineering to turn models into actionable software.
  • Work with research/consulting teams to derive insights from model results.
  • Contribute to improving modelling team operations.

Skills

Programming (Python or similar)
Quantitative data analysis
English proficiency (C1+)
Communication & collaboration

Education

Physics / Engineering / Mathematics / CS / Economics or quantitative field

Job description

Aurora Energy Research in Oxford is recruiting for a Graduate Modelling Programme. You will develop and maintain energy market models, work with software teams to convert models into actionable tools, and contribute to client-facing insights, within a structured training path.

Ideal candidates bring a quantitative degree, programming exposure (Python or similar), and strong English communication. The role is hybrid with in-office and home working in the UK.

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