Fraud Analytics Data Scientist - ML & Risk Insights

Barclays; Northampton; On-site; GBP 65,000 - 95,000; Full time

Job summary

Barclays is seeking a Data Scientist to drive analytics and ML initiatives, supporting fraud detection and operational excellence. You will analyze large, complex datasets, build predictive models, and deliver insights that inform strategic decisions across the bank.

The role emphasizes collaboration with business units, risk and controls, and digital transformation, with a focus on delivering measurable improvements and value from data-driven strategies.

Qualifications

• Proficiency in SQL, SAS, Python, or similar programming languages.
• Strong knowledge of fraud detection systems.
• Hands-on experience working with large and complex data sets.

Responsibilities

• Identify, collect, and extract data from multiple sources.
• Clean, wrangle, and transform data for analysis.
• Develop and maintain data pipelines for automated processing.
• Design and evaluate statistical and ML models to identify patterns and risks.
• Collaborate with stakeholders to derive value from data science initiatives.

Skills

SQL

Python

SAS

fraud detection

data wrangling

Job description

Barclays is seeking a Data Scientist to drive analytics and ML initiatives, supporting fraud detection and operational excellence. You will analyze large, complex datasets, build predictive models, and deliver insights that inform strategic decisions across the bank.

The role emphasizes collaboration with business units, risk and controls, and digital transformation, with a focus on delivering measurable improvements and value from data-driven strategies.