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 potential future opportunities.
- Other info: Dynamic environment with ongoing support and access to learning resources.
- 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 a STEM background.
The predicted salary is between 430 - 1290 £ 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.
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.
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 employer: Aubay UK
Aubay UK is an exceptional employer, offering a dynamic work environment in the heart of the West Midlands, where innovation meets operational excellence. With a strong focus on employee growth and development, we provide opportunities for career advancement and the chance to lead impactful data initiatives within the financial services sector. Our collaborative culture encourages teamwork and accountability, ensuring that every team member feels valued and empowered to contribute to our success.
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
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Data Intelligence Analyst (3-month Summer Internship) at Mercuria Energy Trading SA via Aubay UK
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Aubay UK will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Aubay UK
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Aubay UK.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Aubay UK that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
