Senior Data Scientist: Marketing Data & CDP Architect

Senior Data Scientist: Marketing Data & CDP Architect

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build and optimise data infrastructure for marketing analytics and create scalable data pipelines.
  • Company: Join LexisNexis Risk Solutions, a leader in data-driven insights.
  • Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborate with cross-functional teams in a dynamic and innovative environment.
  • Why this job: Make an impact by driving business outcomes through high-quality data solutions.
  • Qualifications: Experience in data engineering and a passion for marketing analytics.

The predicted salary is between 63000 - 77000 Β£ per year.

Lexis Nexis Risk Solutions is seeking a data-focused engineer to build and optimise data infrastructure for marketing analytics.

You will create scalable pipelines and data models that support segmentation, lifecycle analytics, and real-time engagement, working with cross-functional teams to deliver high-quality data solutions.

You will ensure data quality and governance, enable identity resolution within the CDP, and partner with analytics to drive business outcomes.

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Senior Data Scientist: Marketing Data & CDP Architect employer: RELX

RELX is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee wellbeing, generous benefits, and opportunities for professional growth, you will be empowered to influence strategic decisions across multiple business segments while enjoying a healthy work/life balance. Join us to be part of a forward-thinking team that values your contributions and fosters a culture of shared success.

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Contact Details:

RELX Recruitment Team

We think you need these skills to ace Senior Data Scientist: Marketing Data & CDP Architect

Data Infrastructure Development
Data Pipeline Creation
Data Modelling
Segmentation Analytics
Lifecycle Analytics
Real-Time Data Processing
Data Quality Assurance