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Fraud Data Scientist

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Barclays

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Location:
United Kingdom , Northampton

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

As a Fraud Data Scientist at Barclays, you will be responsible for the development and enhancement of fraud detection systems. Applying advanced analytical methods and data-driven approaches, you’ll improve our ability to detect and prevent fraud across a variety of banking products and services. You’ll work closely with other experts in the field, helping us stay one step ahead in addressing fraud risks. To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.

Job Responsibility:

  • Identification, collection, extraction of data from various sources, including internal and external sources
  • Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis
  • Development and maintenance of efficient data pipelines for automated data acquisition and processing
  • Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data
  • Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities
  • Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science

Requirements:

  • A Degree in Mathematics, Statistics, Computer Science, or a related field (or equivalent work experience)
  • Experience in fraud detection, scam prevention, or cybersecurity, ideally in a financial services or banking environment
  • Proficiency in data analysis, with hands-on experience using tools and languages such as Python, R, SQL and machine learning frameworks
  • 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
What we offer:
  • Focus on wellbeing
  • Big opportunities
  • The workplace of the future
  • Hybrid working
  • Structured approach to hybrid working with fixed 'anchor' days
  • Supportive and inclusive culture and environment
  • Commitment to flexible working arrangements
  • International scale offering incredible variety, depth and breadth of experience
  • Chance to learn from a globally diverse mix of colleagues
  • Encouragement to embrace mobility

Additional Information:

Job Posted:
January 09, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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