At a Glance
- Tasks: Join the Digital Intelligence Team to analyse data and support global trading strategies.
- Company: Mercuria Energy Trading SA, a leader in energy trading and investment.
- Benefits: Paid internship, hands-on experience, and access to learning resources.
- Other info: Opportunity for future roles and dynamic work environment in London.
- Why this job: Make an impact in energy transition while developing your skills in data analytics.
- Qualifications: Oxford University student with strong Python skills and analytical mindset.
The predicted salary is between 500 - 1500 € per month.
Aubay UK is seeking an Oxford University student to join the Digital Intelligence Team at Mercuria for a 3-month paid internship based in London. This opportunity offers hands-on experience within a global energy trading and investment environment, ideal for students considering a future career in Data, Geospatial Analytics, or Digital Intelligence.
Shortlisted applicants will participate in a Dragon’s Den–style selection event on 5 May 2026, pitching their project ideas live to the Head of Digital Intelligence and the Mercuria team. Successful candidates will be awarded the internship, with high performers considered for future opportunities within the business.
The intern will join Mercuria’s Digital Intelligence Team, which specialises in remote sensing, satellite analytics, AI, and geospatial data science to generate proprietary insights that support global trading strategies and energy transition initiatives.
Project Focus:
The intern will be within the Digital Intelligence team, based in London, supporting a global trading and investment business. A successful candidate will find themselves with a unique opportunity to support ad‑hoc day‑to‑day business activities as well as take on a more substantial piece of work. The latter offers the potential to build something that will form a permanent part of the essential analytical toolbox used across the organisation.
The Digital Intelligence team specialise in the use of remote sensing data and geospatial data science expertise to generate unique insights. Satellite data forms one of the foundations of these analytical solutions that the team create; these data are fused with proprietary methodologies and market insights to generate differentiated solutions, enabling the monetisation of competitive advantage across a wide range of commodities and related products.
The team has built a geospatial technology stack to ingest, analyse and process novel data sources, including imagery, which they use to create bespoke applications that support a self‑serve approach to leveraging these proprietary capabilities.
Aligned with the organisation’s broader purpose in connecting markets and advancing the energy transition, its nature‑focused investment platform is dedicated to the restoration and protection of nature and biodiversity, in line with global climate and conservation targets. The Digital Intelligence team are pivotal not only in supporting trading and investment activities, but also in advancing remote sensing, artificial intelligence (AI), environmental DNA (eDNA) sampling, bioacoustics and advanced satellite imagery capabilities for environmental products and energy‑transition initiatives.
Required Skills and Experience:
- STEM academic background.
- Current Oxford University student (undergraduate or master’s; penultimate or final year preferred).
- Strong Python programming skills (essential).
- Analytical and data science capability.
- Ability to break down complex problems into structured, staged solutions.
- Strong communication skills with the ability to articulate commercial value.
- Proactive, self-motivated, and able to work independently.
- Understanding of infrastructure and end-to-end development principles.
- Must have a visa status permitting participation in a paid UK internship.
- Must be based in, or willing to relocate to, London for the duration of the internship.
- Must be available to attend the on-site selection event on 5 May 2026.
Desired Skills and Experience:
- Experience with ReactJS.
- Familiarity with geospatial data science or remote sensing.
- Knowledge of machine learning techniques and automation workflows.
- Interest in energy markets, commodities trading or environmental analytics.
- Exposure to satellite imagery analysis, AI applications or alternative datasets.
What Aubay UK Offers:
At Aubay UK, people are at the heart of what we do. As an intern, you’ll be welcomed into a supportive environment where you can learn, grow, and build real experience with our clients. Throughout your 3‑month placement, you’ll have ongoing guidance from our Talent Acquisition team, who will help you make the most of your time with us and support your development.
You’ll also benefit from:
- Full‑time, hands‑on experience working directly with one of our leading clients.
- Access to the Udemy learning platform.
- Ongoing support and regular check‑ins from the Aubay team.
- The potential to be considered for a future direct role with the client.
Our Client:
Our client specialises in trading and supplying physical commodities, investing in strategic assets, and providing financing, logistics, and tailored solutions that support partners in meeting their commercial objectives, including their net‑zero commitments. The organisation has established a strong global reputation through its unwavering focus on compliance and a rigorous approach to risk management, and is now regarded as one of the largest privately owned businesses of its kind worldwide.
From its European origins, the company has grown into a global enterprise, with:
- Operations in 50+ countries across five continents.
- A workforce of 1,100+ employees representing 40+ nationalities.
- More than 30 international offices.
- Annual revenues exceeding $100 billion.
In recent years, the company has made a deliberate strategic shift toward supporting the energy transition. Investments span:
- Renewable energy projects.
- Biofuels.
- Technology metals and electric‑vehicle infrastructure.
- Environmental and carbon‑management products.
Apply via our website - This role requires you to be based in the UK and have the right to work in the UK. Aubay UK is proud to be an equal-opportunity employer. Employment decisions will be based on merit, competence, performance, and business needs.
Data Intelligence Analyst (3-month Summer Internship) at Mercuria Energy Trading SA via Aubay UK in City of London employer: Aubay UK
Aubay UK offers an exceptional internship experience for Oxford University students, providing a unique opportunity to work within the innovative Digital Intelligence Team at Mercuria Energy Trading in London. Interns will benefit from hands-on experience in a supportive environment, access to ongoing professional development through platforms like Udemy, and the potential for future employment opportunities, all while contributing to meaningful projects that advance energy transition initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Data Intelligence Analyst (3-month Summer Internship) at Mercuria Energy Trading SA via Aubay UK in City of London
✨Tip Number 1
Get to know the company inside out! Research Mercuria and their Digital Intelligence Team. Understand their projects, values, and how they contribute to energy transition. This knowledge will help you stand out during interviews and the selection event.
✨Tip Number 2
Practice your pitch for the Dragon’s Den-style selection event. Make sure you can clearly articulate your project ideas and how they align with Mercuria's goals. Keep it engaging and concise – remember, first impressions count!
✨Tip Number 3
Network like a pro! Connect with current or past interns and professionals in the industry. They can provide valuable insights and tips that could give you an edge. Plus, it shows your genuine interest in the field!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re here to support you throughout the process, so take advantage of our resources and guidance.
We think you need these skills to ace Data Intelligence Analyst (3-month Summer Internship) at Mercuria Energy Trading SA via Aubay UK in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Intelligence Analyst role. Highlight your STEM background, Python skills, and any relevant projects or experiences that showcase your analytical capabilities. We want to see how you fit into our Digital Intelligence Team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your skills align with the internship. Don’t forget to mention your interest in energy markets and how you can contribute to our mission at Mercuria.
Showcase Your Projects:If you've worked on any projects involving geospatial data, AI, or remote sensing, make sure to include them in your application. We love seeing practical examples of your work, so don’t hold back on sharing your achievements!
Apply Through Our Website:Remember to apply through our website for the best chance of getting noticed! It’s the easiest way for us to keep track of your application and ensure you’re considered for this exciting opportunity.
How to prepare for a job interview at Aubay UK
✨Know Your Stuff
Make sure you brush up on your Python programming skills and any relevant data science concepts. Mercuria is looking for someone who can break down complex problems, so be ready to discuss how you've tackled similar challenges in the past.
✨Pitch Perfect
Since you'll be participating in a Dragon’s Den-style selection event, practice your pitch! Keep it concise and focus on the commercial value of your ideas. Show them how your project can contribute to their trading strategies or energy transition initiatives.
✨Show Your Passion
Demonstrate your interest in energy markets and environmental analytics during the interview. Share any relevant projects or experiences that highlight your enthusiasm for the field, as this will set you apart from other candidates.
✨Ask Smart Questions
Prepare thoughtful questions about the Digital Intelligence Team and their projects. This shows your genuine interest in the role and helps you understand how you can contribute effectively to their goals.