Lead AI Data Scientist - Build & Scale Production AI (Hybrid)

Proactive Appointments; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work (2 days on-site)

Pension scheme 4% matched

Life cover (3x)

Cash plan

Sick pay

Salary sacrifice

Job summary

Proactive Appointments seeks an experienced Lead AI Data Scientist for an 18-month fixed-term role in the United Kingdom. You will lead data science across a major AI-embedded programme, prototype solutions, and drive them into production with measurable impact.

You will recruit and manage a small team, collaborate with SMEs, business analysts and engineers, and monitor deployed AI workflows to prevent drift while delivering value.

Qualifications

• Substantial experience (5+ years) as a data scientist, with leadership or direction setting and production deployment.
• Experience mentoring data scientists or analysts and supporting hiring.
• Hands-on building and evaluating LLM-based solutions with prompt design and retrieval-augmented generation.
• Collaborating to define AI system architecture and emerging techniques.

Responsibilities

• Lead data science within the programme and guide models into Production.
• Recruit and build a small Data Science team.
• Prototype AI solutions and monitor them to maintain performance.
• Define success metrics and design before/after analyses to show business impact.

Skills

Data science leadership

Mentoring

LLM-based development

AI system architecture

Metrics design

Model monitoring

Python

SQL

Azure

Databricks

Snowflake

Dashboarding

AI tools

Stakeholder management

Tools

Azure

Databricks

Snowflake

Job description

Proactive Appointments seeks an experienced Lead AI Data Scientist for an 18-month fixed-term role in the United Kingdom. You will lead data science across a major AI-embedded programme, prototype solutions, and drive them into production with measurable impact.

You will recruit and manage a small team, collaborate with SMEs, business analysts and engineers, and monitor deployed AI workflows to prevent drift while delivering value.