National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Fraud Data Scientist

Barclays Business Banking
Northampton
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist - Fraud

Senior Data Scientist

Data Scientist

Data Scientist

Data Scientist

Graduate Data Scientist - Fraud

As a Fraud Data Scientist at Barclays, you will be responsible for developing and enhancing fraud detection systems using advanced analytical methods and data-driven approaches. Your work will help improve the detection and prevention of fraud across various banking products and services, collaborating closely with other experts to stay ahead of fraud risks.

Requirements:

  • A Degree in Mathematics, Statistics, Computer Science, or a related field (or equivalent work experience).
  • Experience in fraud detection, scam prevention, or cybersecurity, preferably in financial services or banking.
  • Proficiency in data analysis with tools and languages such as Python, R, SQL, and machine learning frameworks.

This role is based at our Northampton office.

Purpose of the role:

Utilize innovative data analytics and machine learning techniques to extract insights from the bank's data, informing strategic decisions, improving operational efficiency, and fostering innovation.

Key responsibilities include:

  • Data collection, extraction, cleaning, and transformation from various sources.
  • Development and maintenance of data pipelines for automated processing.
  • Design and execution of statistical and machine learning models to analyze data patterns.
  • Development of predictive models to forecast outcomes and identify risks and opportunities.
  • Collaborate with stakeholders to leverage data science for business value.

Expectations for Analysts:

  • Perform activities efficiently and to high standards, fostering continuous improvement.
  • Demonstrate deep technical expertise and understanding of the field.
  • Lead or support teams, guiding professional development and resource allocation.
  • Exhibit leadership behaviors such as listening, inspiring, aligning, and developing others.
  • Develop technical expertise, advise, and influence decision-making.
  • Manage risks, controls, and compliance with policies and regulations.
  • Understand how your sub-function integrates within the broader organization.
  • Make evaluative judgments, solve problems, and communicate effectively with stakeholders.

All colleagues are expected to embody Barclays' values of Respect, Integrity, Service, Excellence, and Stewardship, and to demonstrate the Barclays Mindset of Empower, Challenge, and Drive.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.