Client Data and Engineering Group Summer Internship Programme 2027 London
At a glance
- Location
- Canary Wharf, United Kingdom
- Work type
- Onsite
- Visa sponsorship
- Offered
- Category
- Data
Barclays Summer Internship Programme 2027 in London (Canary Wharf) for the Client Data & Engineering Group (CDEG). A 10-week program offering hands-on projects in data, analytics and AI to generate client insights across Markets and Banking, with mentoring and coaching, exposure to dashboards, data platforms and AI-enabled solutions, and collaboration with stakeholders across Markets, Banking and Technology.
What they are looking for
Location: Canary Wharf, 1 Churchill Place, United Kingdom
Job Description
Purpose of the role
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 the Investment Bank. The role provides exposure to a broad range of stakeholders, datasets and business initiatives spanning Banking, Markets and Technology, while contributing to the development of scalable insight-led solutions.
Accountabilities
Collaboration with Banking, Markets and Technology teams to support client-focused initiatives through the generation of data-driven insights and analytical outputs.
Analysis of client, business and market data to identify trends, opportunities and insights that support decision-making and business activity across the Investment Bank.
Development and enhancement of dashboards, visualisations, reports and analytical tools that improve the accessibility and usefulness of client and business information.
Contribution to the design, testing and implementation of data, analytics and AI-enabled solutions that support workflow efficiency, insight generation and business outcomes.
Management and improvement of data quality, consistency and governance standards across datasets to support reliable reporting and analytics.
Support for the development of data platforms and analytical capabilities that enable scalable client intelligence, business development and coverage activities across Banking and Markets.
Collaboration with cross-functional stakeholders to gather requirements, communicate findings and translate business needs into data-driven solutions.
Participation in training and professional development activities to build expertise in data analytics, AI, financial markets and client strategy, while contributing to continuous improvement initiatives within CDEG.
Analyst Expectations
To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
Requires in-depth technical knowledge and experience in their assigned area of expertise.
Thorough understanding of the underlying principles and concepts within the area of expertise.
They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
Will have an impact on the work of related teams within the area.
Partner with other functions and business areas.
Takes responsibility for end results of a team’s operational processing and activities.
Escalate breaches of policies / procedure appropriately.
Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
Advise and influence decision making within own area of expertise.
Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisation’s products, services and processes within the function.
Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Make evaluative judgements based on the analysis of factual information, paying attention to detail.
Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
Guide and persuade team members and communicate complex / sensitive information.
Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
Summer Internship Programme Overview
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.
Why the Client Data & Engineering Group Summer Intern Programme?
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.
How you’ll develop
You’ll build analytical and problem-solving skills through hands-on project work, supported by coaching and ment