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# Lead AI Data Scientist - AI Practice Transformation

- **Company:** Lawfront - https://www.lawfront.com
- **Location:** London, United Kingdom
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Python (Programming Language), SQL Databases, Cloud Platform System, Large Language Models, Snowflake, Prompt Engineering, Generative AI, Databricks
- **Published:** November 10, 2026
- **Apply:** https://www.cv-library.co.uk/job/225813908/lead-ai-data-scientist-ai-practice-transformation

## About the Role

You'll be an experienced Data Scientist with a strong track record of taking AI solutions from concept to production. You'll bring hands-on experience with LLMs, prompt engineering, retrieval-augmented generation (RAG), Python, SQL and cloud-based data platforms such as Azure, Databricks or Snowflake.

Just as importantly, you'll be comfortable working with senior stakeholders, translating business challenges into AI opportunities and demonstrating measurable outcomes that matter to the business.

## Description

We're looking for a Lead AI Data Scientist to drive the next phase of this transformation, identifying where AI can create the greatest value, building solutions that reach production, and delivering measurable business impact across the group.

Unlike many data science roles, this isn't about building models that stay in development. You'll work directly with legal and business teams to deploy AI solutions that improve productivity, enhance quality and drive commercial performance at scale.

What You'll Do
Identify opportunities to embed AI and automation within legal workflows.
Build, test and evaluate LLM-powered solutions using modern AI techniques.
Work closely with engineers, architects and business stakeholders to move successful solutions into production.
Define success metrics and measure the real-world impact of AI adoption.
Develop dashboards and reporting that demonstrate operational and commercial benefits.
Monitor deployed AI solutions and continuously improve performance over time.