Data Scientist

LexisNexis Risk Solutions
United Kingdom
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Presentation","Problem-solving","Multitasking","Attention to detail"]

Join a data-driven Fraud/Risk team at LexisNexis Risk Solutions. You will analyze and model billions of transactions per month using Python and SQL, build real-time ML and rule-based models, and collaborate with product, engineering, and risk leaders to reduce fraud losses and increase profitability for enterprise customers.

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LexisNexis Risk Solutions
LexisNexis Risk Solutions
2 months ago

Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 days agoStatus: Live

Job Summary

Join a data-driven Fraud/Risk team at LexisNexis Risk Solutions. You will analyze and model billions of transactions per month using Python and SQL, build real-time ML and rule-based models, and collaborate with product, engineering, and risk leaders to reduce fraud losses and increase profitability for enterprise customers.
Location: United Kingdom
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •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

Pay and Benefits

Perks:Health InsuranceRetirementPensionTrainingAnnual BonusPrivate MedicalLife InsuranceWellness StipendEmployee AssistanceEmployee DiscountsLearning Resources

Key Requirements

  • •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
Experience:FraudRiskPaymentsFinancial servicesE-commerce
Skills:CommunicationPresentationProblem-solvingMultitaskingAttention to detail
Tech Stack:PythonSQLSupersetTableauPowerBIMLMLOps

Company Brief

LexisNexis Risk Solutions
Provides data, analytics, and technology solutions to help businesses manage risk, detect fraud, comply with regulations, and make decisions across insurance, financial services, government, and commercial sectors.
Industry: RegTech
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Public Company
Headquarters: Alpharetta, United States
WebsiteLinkedIn