LexisNexis Risk Solutions

4 weeks ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour 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

Website LinkedIn

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LexisNexis Risk Solutions

4 weeks ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

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

Industry: RegTech

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Public Company

Headquarters: Alpharetta, United States

Website LinkedIn