At a Glance
- Tasks: Dive into geospatial analytics and AI for energy trading projects.
- Company: Leading digital services company with a focus on innovation.
- Benefits: Paid internship, hands-on experience, and networking opportunities.
- Other info: Exciting selection event on 5 May 2026.
- Why this job: Make an impact in global trading strategies while gaining valuable skills.
- Qualifications: STEM background and passion for data analytics.
The predicted salary is between 20000 - 30000 € per year.
A leading digital services company is seeking an Oxford University student for a 3-month paid internship within its Digital Intelligence Team in London. This role provides hands-on experience in energy trading, focusing on geospatial analytics and AI. Candidates will engage in substantial projects and must possess a STEM background. This is a unique chance to contribute to analytics supporting global trading strategies.
Take part in an exciting selection event on 5 May 2026.
Data Intelligence Intern: Geospatial & AI (London) employer: Aubay UK
As a leading digital services company, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our London office offers a vibrant environment where interns can gain invaluable hands-on experience in energy trading, with ample opportunities for professional growth and development in cutting-edge fields like geospatial analytics and AI. Join us to be part of impactful projects that shape global trading strategies while enjoying the benefits of a supportive team and a commitment to your career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Intelligence Intern: Geospatial & AI (London)
✨Tip Number 1
Network like a pro! Reach out to current or former interns at the company through LinkedIn. Ask them about their experiences and any tips they might have for standing out during the selection event.
✨Tip Number 2
Brush up on your geospatial analytics and AI knowledge. Make sure you can discuss relevant projects or coursework in detail. This will show your passion and readiness for the role!
✨Tip Number 3
Prepare for the selection event by practising common interview questions related to data intelligence. We recommend doing mock interviews with friends or using online resources to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data Intelligence Intern: Geospatial & AI (London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your STEM background and any relevant experience in geospatial analytics or AI. We want to see how your skills align with the role, so don’t be shy about showcasing your projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this internship and how you can contribute to our Digital Intelligence Team. Keep it engaging and personal – we love to see your passion!
Showcase Relevant Projects:If you've worked on any projects related to energy trading, geospatial analytics, or AI, make sure to mention them. We’re looking for candidates who can bring real-world experience to the table, so let us know what you've done!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re serious about joining our team!
How to prepare for a job interview at Aubay UK
✨Know Your Geospatial Stuff
Make sure you brush up on your geospatial analytics knowledge. Familiarise yourself with the latest tools and technologies in this field, as well as any relevant projects you've worked on. Being able to discuss specific examples will show your passion and expertise.
✨Show Off Your STEM Skills
Since a STEM background is essential for this role, be prepared to highlight your technical skills. Think about how your studies or previous experiences relate to data analysis and AI. Bring along any projects or coursework that demonstrate your capabilities.
✨Understand Energy Trading Basics
Even if you're not an expert in energy trading, having a basic understanding of the industry can set you apart. Research current trends and challenges in energy trading, especially those related to geospatial data. This will help you engage in meaningful conversations during the interview.
✨Prepare Questions for Them
Interviews are a two-way street, so come armed with thoughtful questions. Ask about the team’s current projects, the tools they use, or how they integrate AI into their strategies. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
