Senior Data Scientist: AI Analytics for Product Insights

LexisNexis IP; Farringdon; Remoto; GBP 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

LexisNexis Intellectual Property Solutions in London (Farringdon) is seeking a Senior Data Scientist who will own end-to-end AI analytics solutions from problem definition to deployment. You will work with product, analytics, and engineering teams to turn complex data into actionable insights that influence product strategy and business decisions.

You will build scalable data pipelines using SQL, Python, and Databricks, apply ML and generative AI, including LLMs, and establish monitoring for

Competenze

• Strong SQL expertise with complex queries, data transformation, and large dataset performance optimisation.
• Proficient Python for data analysis, ML, automation, and production-grade apps.
• Hands-on Databricks and Apache Spark for scalable data pipelines and AI workflows.
• Experience with applied AI, ML, and modern generative AI techniques including LLMs.

Mansioni

• Translate product and business questions into analytics and AI use cases with measurable success criteria.
• Design, develop, and deploy end-to-end AI analytics solutions from ingestion to insights.
• Build and maintain scalable data pipelines using SQL, Python, and Databricks.
• Apply machine learning and generative AI to improve analytics and decision support.
• Analyse product usage data to identify patterns and opportunities, and monitor AI outputs.

Conoscenze

SQL

Python

Databricks

Apache Spark

Machine Learning

LLMs

Data Engineering

CI/CD

Communication

Descrizione del lavoro

LexisNexis Intellectual Property Solutions in London (Farringdon) is seeking a Senior Data Scientist who will own end-to-end AI analytics solutions from problem definition to deployment. You will work with product, analytics, and engineering teams to turn complex data into actionable insights that influence product strategy and business decisions.

You will build scalable data pipelines using SQL, Python, and Databricks, apply ML and generative AI, including LLMs, and establish monitoring for