Senior Data Scientist II

LexisNexis Risk Solutions
London
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["SQL","ETL","ELT","Airflow","Dbt","Data Factory","Cloud platforms","Power BI","Tableau","Data modeling","GDPR","PII","Identity resolution","Consent management"]

Build and optimize scalable data infrastructure to enable advanced marketing and customer data capabilities. Create pipelines, data models, and governance practices supporting analytics, segmentation, and real-time engagement, collaborating with cross-functional teams to deliver high-quality data solutions that drive business outcomes.

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LexisNexis Risk Solutions
LexisNexis Risk Solutions
2 months ago

Senior Data Scientist II

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 days agoStatus: Live

Job Summary

Build and optimize scalable data infrastructure to enable advanced marketing and customer data capabilities. Create pipelines, data models, and governance practices supporting analytics, segmentation, and real-time engagement, collaborating with cross-functional teams to deliver high-quality data solutions that drive business outcomes.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and maintain scalable data pipelines integrating customer, campaign, and operational data into the CDP and marketing data layer.
  • •Design and manage data models to support segmentation, lifecycle analytics, attribution, and KPI measurement.
  • •Ensure data quality, consistency, deduplication, and optimization for analytics and reporting use cases.
  • •Enable CDP functionality including identity resolution, consent management, and audience readiness.
  • •Develop event streams and triggers to support customer journey orchestration and real-time decisioning.

Key Requirements

  • •Strong SQL skills with experience in ETL/ELT and pipeline orchestration (Airflow, dbt, Data Factory).
  • •Experience with cloud data platforms (Azure, AWS, or GCP).
  • •Proficiency in data modeling (dimensional, entity-relationship, event-driven).
  • •Understanding of marketing data ecosystems, including CDPs, CRM, and behavioral data.
  • •Experience supporting analytics/BI tools (Power BI, Tableau) from a data engineering perspective.
Experience:Marketing automationSaasData engineeringCdpMartech
Skills:SQLETLELTAirflowDbtData FactoryCloud platformsPower BITableauData modelingGDPRPIIIdentity resolutionConsent management
Languages:English
Tech Stack:SQLAirflowDbtData FactoryAzureAWSGCPPower BITableauCDPCRM

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