Senior Data Scientist – Marketing Data & Real-Time CDP

LNRS Data Services Ltd Company; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

LexisNexis Risk Solutions is seeking a data engineer to design and operate scalable data pipelines and models that power marketing analytics and real-time decisioning. You will work across cross-functional teams to deliver high-quality data assets for segmentation, attribution, and journey orchestration.

You will implement governance, identity resolution, and GDPR/PII controls while collaborating with analytics, MarTech, and marketing stakeholders to align data solutions with business goals.

Qualifications

• Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory)
• Experience with cloud data platforms (e.g., Azure, AWS, or GCP)
• Proficiency in data modelling (dimensional, entity-relationship, event-driven)
• Understanding of marketing data ecosystems, including CDPs, CRM, and behavioural data
• Experience supporting analytics and BI tools (e.g., Power BI, Tableau) from a data engineering perspective
• Knowledge of data governance, quality frameworks, and secure data handling (including GDPR/PII)
• Ability to translate business requirements into scalable technical solutions
• Strong collaboration and communication skills with technical and non-technical stakeholders

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 optimisation 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
• Provide structured datasets and semantic layers for dashboards and advanced analytics
• Implement data governance practices, including lineage, cataloguing, validation, and GDPR/PII compliance
• Partner with analytics, MarTech, and marketing teams to align data solutions with business needs

Skills

SQL

ETL/ELT

Airflow

dbt

Data Factory

Dimensional modeling

Data governance

BI tools

Tools

Airflow

dbt

Azure

AWS

GCP

Power BI

Tableau

Job description

LexisNexis Risk Solutions is seeking a data engineer to design and operate scalable data pipelines and models that power marketing analytics and real-time decisioning. You will work across cross-functional teams to deliver high-quality data assets for segmentation, attribution, and journey orchestration.

You will implement governance, identity resolution, and GDPR/PII controls while collaborating with analytics, MarTech, and marketing stakeholders to align data solutions with business goals.