Senior Data Scientist I — Flexible Hours & AI Analytics

LexisNexis Legal & Professional group; Greater London; Remote; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Flexible hours

Parental leave

Study assistance

Sabbaticals

Wellbeing initiatives

Job summary

LexisNexis Intellectual Property Solutions seeks a Senior Data Scientist to own end-to-end AI analytics from problem framing to deployment. You will build scalable data pipelines, apply ML and generative AI techniques, and collaborate with product, analytics, and engineering teams to deliver measurable business value.

You will translate questions into analytics, evaluate outcomes, and communicate findings to stakeholders while maintaining data quality and reproducibility.

Qualifications

• Experience delivering data science and AI solutions from concept to production.
• Strong SQL queries and data transformation skills.
• Proficiency in Python for data analysis and model deployment.
• Hands-on data engineering, ETL/ELT, and pipeline orchestration.

Responsibilities

• Translate business questions into analytics and AI use cases with measurable success criteria.
• Design, develop, and deploy end-to-end AI analytics solutions.
• Build scalable data pipelines and machine learning workflows.
• Apply ML and generative AI, including LLMs, to improve analytics and decision support.
• Analyze product usage to identify patterns and opportunities.

Skills

SQL

Python

Databricks

Apache Spark

LLMs

AI workflows

Data pipelines

Statistics

CI/CD

Communication

Tools

Databricks

Python

Job description

LexisNexis Intellectual Property Solutions seeks a Senior Data Scientist to own end-to-end AI analytics from problem framing to deployment. You will build scalable data pipelines, apply ML and generative AI techniques, and collaborate with product, analytics, and engineering teams to deliver measurable business value.

You will translate questions into analytics, evaluate outcomes, and communicate findings to stakeholders while maintaining data quality and reproducibility.