Client Data and Engineering Group Summer Internship Programme

Join us as a summer intern and discover the world of finance, data and technology. You’ll work on real projects from day one, supported by a mentor and line manager, gaining hands‑on experience across a 10-week programme. You’ll build technical and commercial skills while developing an understanding of how data, analytics and AI are used to generate insights across financial markets.

As a Summer Analyst, you’ll work on projects combining data, analytics and AI to generate insights across Markets and the wider Investment Bank.

You may:

• Analyse complex datasets to generate insights
• Build dashboards, visualisations and analytical outputs
• Support development of data‑driven tools and analytical capabilities
• Contribute to AI and machine learning use cases focused on insight generation and workflow enhancement
• Work with structured datasets to improve data quality and usability
• Collaborate with stakeholders across Markets, Banking and Technology

You’ll gain practical experience of how data, analytics and AI are applied across the business.

You’ll build analytical and problem‑solving skills through hands‑on project work, supported by coaching and mentorship. You will:

• Develop your ability to work with data and generate insights
• Gain exposure to data analysis, visualisation and AI‑supported workflows
• Learn how analytics and AI are used in real business environments
• Build communication skills by presenting insights to varied audiences

The Client Data & Engineering Group (CDEG) focuses on using data, analytics and AI to generate insights that support how the business understands clients and opportunities. CDEG develops data platforms and analytical capabilities used across Markets and Banking, helping teams work with data more effectively and generate scalable, insight‑led outputs.

We’re looking for students in their penultimate year from any academic background with an interest in data, analytics and financial markets.

You’ll:

• Enjoy working with data and solving problems
• Demonstrate structured thinking and analytical capability
• Be curious about financial markets and insight generation
• Communicate clearly and work well in teams
• Be adaptable, proactive and keen to learn

Experience with data analysis, programming (e.g. Python, SQL), or AI/ML concepts is beneficial but not required.

Barclays will accept applications from candidates who require visa sponsorship to work in the UK and will provide a skilled worker visa for successful applicants if they meet the Home Office’s eligibility criteria for a skilled worker visa. Successful applicants who are not eligible to receive a skilled worker visa, and who we are therefore unable to secure a skilled worker visa for, will be required to have their own legal right to work in the UK on a full‑time basis from June 2027 to August 2027.

If you love the buzz of city life, our global HQ is the place to be. Our London hub is in Canary Wharf, at the heart of London’s financial district. Here, you won’t just be perfectly placed to explore the nation’s capital; you’ll be in a place where you can explore all the many functions and opportunities of a global financial giant.

And if you’re technically minded, you’ll get more from your tech career by collaborating with other brilliant minds on game‑changing innovations that are redefining the future of finance.

To support the Client Data & Engineering Group (CDEG) in delivering data, analytics and AI‑driven capabilities that enhance client understanding, identify business opportunities and support client activity across…