Key Takeaways
- Undertake a 10-week paid summer internship in London, focusing on data, analytics, and AI within Barclays' Investment Bank.
- Analyse complex datasets, build visualisations, and contribute to AI/ML use cases to generate business insights.
- Gain practical experience and develop analytical, problem-solving, and communication skills.
- Open to penultimate-year students from any academic background interested in data and financial markets.
- Visa sponsorship is available for eligible candidates.
About the Role
This internship offers exposure to the Client Data & Engineering Group (CDEG) within the Investment Bank. You will support the delivery of data, analytics, and AI-driven capabilities to enhance client understanding and identify business opportunities. The role involves working with various stakeholders, datasets, and business initiatives across Banking, Markets, and Technology, contributing to the development of insight-led solutions.
Accountabilities
- Collaborate with Banking, Markets, and Technology teams on client-focused initiatives using data-driven insights.
- Analyse client, business, and market data to identify trends and opportunities.
- Develop and enhance dashboards, visualisations, reports, and analytical tools.
- Contribute to the design, testing, and implementation of data, analytics, and AI solutions.
- Manage and improve data quality, consistency, and governance standards.
- Support the development of data platforms and analytical capabilities.
- Gather requirements, communicate findings, and translate business needs into data-driven solutions.
- Participate in training and professional development activities.
Summer Internship Programme Overview
This 10-week programme provides hands-on experience in finance, data, and technology. You will work on real projects, supported by a mentor and line manager, to build technical and commercial skills. You will gain an understanding of how data, analytics, and AI are used to generate insights across financial markets.
What You'll Do
- Analyse complex datasets to generate insights.
- Build dashboards, visualisations, and analytical outputs.
- Support the development of data-driven tools and analytical capabilities.
- Contribute to AI and machine learning use cases.
- Work with structured datasets to improve data quality and usability.
- Collaborate with stakeholders across Markets, Banking, and Technology.
How You'll Develop
You will develop analytical and problem-solving skills through project work, coaching, and mentorship. You will:
- Improve 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.
About the Client Data & Engineering Group (CDEG)
CDEG focuses on using data, analytics, and AI to understand clients and opportunities. They develop data platforms and analytical capabilities used across Markets and Banking to help teams work with data more effectively and generate scalable, insight-led outputs.
Who We're Looking For
We are seeking students in their penultimate year from any academic background with an interest in data, analytics, and financial markets. You should:
- 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.
Working in London
Our global headquarters in Canary Wharf, London, offers a vibrant city life experience. You'll be well-placed to explore the capital and engage with diverse functions and opportunities within a global financial giant. This location is ideal for technically minded individuals looking to collaborate on innovations in finance.