Senior Data Scientist

Salary: £56,000 - 96,000 per year

Requirements:

• We require strong SQL skills and experience with ETL/ELT and pipeline orchestration tools such as Airflow, dbt, or Data Factory.
• We require experience with cloud data platforms such as Azure, AWS, or GCP.
• We require proficiency in data modelling, including dimensional, entity-relationship, and event-driven approaches.
• We require an understanding of marketing data ecosystems, including CDPs, CRM, and behavioural data.
• We require experience supporting analytics and BI tools such as Power BI or Tableau from a data engineering perspective.
• We require knowledge of data governance, quality frameworks, and secure data handling, including GDPR and PII.
• We require the ability to translate business requirements into scalable technical solutions.
• We require strong collaboration and communication skills with both technical and non-technical stakeholders.

Responsibilities:

• We build and maintain scalable data pipelines that integrate customer, campaign, and operational data into the CDP and marketing data layer.
• We design and manage data models to support segmentation, lifecycle analytics, attribution, and KPI measurement.
• We ensure data quality, consistency, deduplication, and optimisation for analytics and reporting use cases.
• We enable CDP functionality, including identity resolution, consent management, and audience readiness.
• We develop event streams and triggers to support customer journey orchestration and real-time decisioning.
• We provide structured datasets and semantic layers for dashboards and advanced analytics.
• We implement data governance practices, including lineage, cataloguing, validation, and GDPR and PII compliance.
• We partner with analytics, MarTech, and marketing teams to align data solutions with business needs.

Technologies:

• Airflow
• AWS
• Azure
• Cloud
• CRM
• ETL
• GCP
• Support
• Marketing
• Power BI
• SQL
• Tableau
• dbt

More:

We are LexisNexis Risk Solutions, a company that provides customers with solutions and decision tools combining public and industry-specific content with advanced technology and analytics to help evaluate and predict risk and improve operational efficiency. Our data and analytics help customers make better, timelier decisions, support safer communities, more accurate insurance rates, more transparent commerce, easier business decisions, and more efficient processes. You will join our MarTech Marketing Automation team, a dynamic group managing several SaaS-based solutions within the Marketing Technology stack for LNRS Data Services. This full-time role is based in London Wall, and we offer country-specific benefits, a fair and accessible hiring process, and are an equal opportunity employer.

last updated 34 week of 2026