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Client Data and Engineering Group Summer Internship Programme 2027 London

Canary Wharf, 1 Churchill Place

Live, first seen by us 29 days ago
Pay
Pay not listed
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

New graduates
For current studentsWe’re looking for students in their penultimate year from any academic background with an interest in data, analytics and financial markets
Work authorization
Must already have the right to work in the UKSuccessful 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

What you’ll work on

Full posting
  • 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 for insight generation

  • Work with structured datasets to improve data quality and usability

From the employer’s posting
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
Apply at Barclays

Posting record

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Status in our records
Live
First seen by us
Oct 16, 202629 days ago
Recorded sightings
63
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 29

Similar jobs usually come down between day 5 and day 43.

At Barclays, jobs usually come down by about day 29.

From 14,732 similar postings that came down, and 322 of Barclays’s. Coming down is not always a hire.

Barclays is hiring

40 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
Where the posting names them
- 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.

Your next step

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Demand for Analyst roles

New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 993, the most 1,515, and the latest week had 1,515.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

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 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

Client Data & Engineering Group (CDEG) at Barclays

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.


Who we’re looking for

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.


Working in London
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. 

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Location & working pattern

Canary Wharf, 1 Churchill Place

Working pattern and location restrictions need checking in the full posting.

Work authorization
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. Working in London 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.

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