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# Data Scientist

- **Company:** LexisNexis Risk Solutions
- **Location:** UK
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Monitoring of Systems, Python (Programming Language), Machine Learning, Power BI, Standard Sql, Software Deployment, SQL Databases, Tableau (Software), Cybercrime, Machine Learning Operations
- **Published:** August 1, 2026
- **Apply:** https://www.totaljobs.com/job/data-scientist/lexisnexis-risk-solutions-uk-limited-t-a-lexisnexis-risk-solutions-group-job107781563

## About the Role

* Experience in a data science role, ideally within the fraud, risk, or payments domain
 * Proficiency in Python and SQL (BI tools such as SuperSet, Tableau or PowerBI is a bonus)
 * Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems
 * Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail
 * Have extensive multi-tasking and prioritisation skills. Needs to excel in fast paced environment with frequently changing priorities

## Description

About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. You'll leverage a real-time platform analysing billions of transactions per month for some of the largest companies operating in Financial Services, Insurance, e-Commerce, and On-Demand Services. These tools will allow you to attain a unique perspective of the Internet, and every persona connected to it. On top of driving innovation projects, you'll be continually collaborating with internal product and engineering teams, customer-facing account teams, and external business leaders and risk managers. The comprehensive models you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue., * Scoping, developing, and implementing machine learning or rule-based models following best practice, to banking model governance standards

 * Using your strong knowledge of SQL and Python plus quantitative skills to define features that capture evolving fraudster behaviours
 * Develop internal tools to streamline the model training pipeline and analytics workflows
 * Applying your curiosity and problem-solving skills to transform uncertainty into value-add opportunities
 * Using your strong attention to detail and ability to craft a story through data, delivering industry-leading presentations for external and executive audiences
 * Building an extensive knowledge of cybercrime - account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering and mule fraud etc
 * Employing your multi-tasking and prioritisation skills to excel in a fast-paced environment with frequently changing priorities


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