Lead AI Data Scientist

Proactive.IT Appointments Ltd.; Greater London; Presencial; GBP 90 000 - 130 000; Tempo integral

Resumo da oferta

Proactive.IT Appointments Ltd. is seeking an experienced Lead AI Data Scientist for an 18‑month fixed-term role. You will lead data science initiatives, partner with SMEs and engineers, and drive AI adoption across the client’s services.

The role focuses on productionizing models and delivering measurable business impact. The candidate will design AI architectures, set success metrics, monitor production systems, and mentor other data scientists.

Qualificações

• 5+ years as a data scientist, with leadership or direction experience and a track record of moving models to production.

Responsabilidades

• Lead data science within a programme, collaborating with SMEs, business analysts and engineers.

Conhecimentos

Python

SQL

LLM prototyping

Team leadership

Prompt design

RAG

Cloud data platforms

Dashboards

Production deployment

Stakeholder management

Ferramentas

Azure

Databricks

Snowflake

Descrição da oferta de emprego

Our client is urgently looking for an experienced Lead AI Data Scientist, with good demonstrable experience with AI to join their team on an 18-month Fixed-Term basis.

Our client is looking to get AI embedded at scale – a more structured and measurable manner, into the delivery of our client’s services across the group.

This is a new role created to lead data science within that programme. Working closely with Subject Matter Experts (SMEs), business analysts and engineers, you’ll identify where within legal workflows automation/AI can deliver the greatest benefits, prototype solutions and guide them into Production.

Lead AI Data Scientist – Key Skills:

• Substantial experience (5+ years) as a data scientist, including time leading or setting direction for data science work, with a track record of taking models from prototype into Production and keeping them running.
• Experience managing, mentoring, or informally leading data scientists or analysts, including supporting hiring, setting priorities, and developing others, or a demonstrated interest in moving into people management.
• Hands‑on building and evaluating LLM‑based solutions, including prompt design, retrieval‑augmented generation, and structured evaluation approaches such as human‑in‑the‑loop review and LLM‑as‑Judge.
• Collaborating to define AI system architecture and design, along with emerging techniques such as MCP, agent skills, AI harness design and context engineering.
• Definition of success metrics and baselines for a programme or product, and designing before‑and‑after analysis to show measurable impact, ideally in terms the business cares about (productivity, quality, cost, margin).
• Monitoring models or AI‑enabled workflows in Production and identifying quality degradation or drift, with the ability to recommend and drive fixes.
• Strong data skills: assessing data quality and fitness for purpose across multiple source systems, mapping how data moves between them, and contributing to target data models. Proficiency in Python and SQL, and experience working on a cloud data platform (e.g. Azure, Databricks, Snowflake).
• Built dashboards and automated reporting for non‑technical stakeholders.
• Worked closely with engineers and architects to define paths to Production, including cost‑to‑run considerations such as consumption, licensing and cost per task.
• Ability to effectively leverage AI coding tools to accelerate prototyping, experimentation and development.
• Strong stakeholder skills: the ability to work with subject matter experts and business analysts,