Data Scientist

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in Anti Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. Learn more about LexisNexis Risk at

You will be part of a team that uses global data from the largest real time fraud detection platform to craft solutions for our enterprise customers.

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 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.

• Scope, develop, and implement machine learning or rule based models following best practice and banking model governance standards.
• Use 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.
• Apply curiosity and problem solving skills to transform uncertainty into value add opportunities.
• Craft a story through data, delivering industry leading presentations for external and executive audiences.
• Build an extensive knowledge of cybercrime - account takeover, scams, social engineering, Card Not Present fraud, money laundering, and mule fraud.
• Employ multi tasking and prioritisation skills to excel in a fast paced environment with frequently changing priorities.

• Experience in a data science role, ideally within fraud, risk, or payments domain.
• Proficiency in Python and SQL; BI tools such as SuperSet, Tableau, or PowerBI 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.
• Extensive multi tasking and prioritisation skills; ability to excel in a fast paced environment with frequently changing priorities.

• Generous holiday allowance with the option to buy additional days.
• Health screening, eye care vouchers, and private medical benefits.
• Well being programs.
• Life Assurance.
• Access to a competitive contributory pension scheme.
• Save As You Earn share option scheme.
• Travel season ticket loan.
• Electric Vehicle Scheme.
• Optional Dental Insurance.
• Maternity, paternity, and shared parental leave.
• Employee Assistance Programme.
• Access to emergency care for both the elderly and children.
• RECARES days, giving you time to support the charities and causes that matter to you.
• Access to employee resource groups with dedicated time to volunteer.
• Access to extensive learning and development resources.
• Access to employee discounts scheme via Perks at Work.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

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