Energy Modelling Intern (with preference for women)

Aurora Energy Research; São Paulo; Híbrido; BRL 22 000 - 29 000; Tempo parcial

Vantagens oferecidas por esta oferta de emprego

Competitive stipend

Coaching & mentoring

Aurora Academy

International team

Resumo da oferta

Aurora Energy Research in São Paulo invites applications for an Energy Modelling Intern (with preference for women). The role focuses on developing analytical tools, improving modelling methods, and deriving insights to support client decisions. Open to undergraduates in quantitative fields, with programming experience and strong communication.

The internship offers mentorship, access to Aurora Academy, and a supportive, international work culture. Applications review as received.

Qualificações

• Enrolment in undergraduate programs in Engineering, Mathematics, Physics, Computer Science, Molecular Sciences, Economics, or other quantitative fields
• Ability to explain reasoning clearly
• Familiarity with at least one programming language, such as Python
• Strong communication and collaboration skills
• Fluent English

Responsabilidades

• Develop and maintain Aurora’s suite of energy market models.
• Collaborate with our research and consulting teams to derive insights from model results
• Contribute to continuously improving how the modelling team operates.

Conhecimentos

Undergrad enrolment

Problem solving

Python or similar

Communication

Collaboration

Fluent English

Ferramentas

Python

Descrição da oferta de emprego

Energy Modelling Intern (with preference for women)

Department: Modelling

Employment Type: Internship

Location: São Paulo, Brazil

Description

Application Period: From 21 September until 16 October. Based in São Paulo, you will contribute to our energy modelling efforts by developing analytical and computational tools, enhancing our modelling methodology, analysing data, formulating recommendations on future trends, and conveying insights to enhance clients’ decision making.

This internship focuses on modelling energy commodities markets, particularly electricity. It is open to students currently enrolled in undergraduate programs (Engineering, Mathematics, Physics, Computer Science, Molecular Sciences, Economics, and other quantitative fields at top-tier universities).

Key Responsibilities

• Develop and maintain Aurora’s suite of energy market models.
• Collaborate with our research and consulting teams to derive insights from model results
• Contribute to continuously improving how the modelling team operates.

Skills, Knowledge and Expertise

Required attributes:

• Enrolment in undergraduate programs in Engineering, Mathematics, Physics, Computer Science, Molecular Sciences, Economics, or other quantitative fields
• A genuine enjoyment of working through complex problems and the ability to explain your reasoning clearly
• Familiarity with at least one programming language, such as Python or similar
• Strong communication and collaboration skills
• Fluent English

Desirable attributes:

• Experience working with quantitative data through coursework, projects, or internships, including analysing data and drawing insights
• An interest in energy markets and how well-designed models improve real-world decisions
• An interest in statistical and/or optimization techniques.
• Comfortable using AI tools to support coding and analysis, with a critical eye for reviewing AI-generated outputs

What we offer

• A fun, informal, collaborative and international work culture
• A competitive stipend (bolsa auxílio)
• 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
• The Company is committed to the principle that no employee/intern 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.

The team will review applications as they are received.