Senior Data Scientist – AI & Product Insights

RELX INC; Greater London; Remote; GBP 75,000 - 95,000; Full time

Job summary

RELX INC’s LexisNexis Intellectual Property Solutions team is seeking a Senior Data Scientist to build end-to-end AI analytics solutions. You will own delivery from problem framing to deployment, collaborating with product, analytics, and engineering teams to turn complex data into actionable insights and measurable impact.

You will design scalable data pipelines, apply ML and generative AI techniques, and translate business questions into analytics use cases with clear success metrics.

Qualifications

• Demonstrated experience delivering data science and AI solutions from concept to production.
• Strong SQL expertise for complex queries and data transformation.
• Strong Python proficiency for data analysis, ML, automation and production apps.
• Robust knowledge of data engineering, including modelling, ETL/ELT, pipelines and data quality.

Responsibilities

• Translate product and business questions into analytics use cases with measurable criteria.
• Design, develop, and deploy end-to-end AI analytics solutions across data ingestion to insights.
• Build scalable data pipelines using SQL, Python, and Databricks.
• Apply ML and generative AI, including LLMs, to improve analytics and decision support.
• Analyze product usage data to identify patterns and opportunities.
• Establish evaluation and monitoring for accuracy, AI output quality, and performance.
• Collaborate with engineering to integrate solutions into platforms and workflows.
• Communicate findings and recommendations to stakeholders.

Skills

SQL

Python

Databricks

Apache Spark

Data modeling

ETL/ELT

CI/CD

Model monitoring

Stakeholder communication

Tools

Databricks

Git

Job description

RELX INC’s LexisNexis Intellectual Property Solutions team is seeking a Senior Data Scientist to build end-to-end AI analytics solutions. You will own delivery from problem framing to deployment, collaborating with product, analytics, and engineering teams to turn complex data into actionable insights and measurable impact.

You will design scalable data pipelines, apply ML and generative AI techniques, and translate business questions into analytics use cases with clear success metrics.