Reed

Lead AI & Data Scientist

McGregor Boyall
London, UK
£140,000 – £140,000
about 10 hours ago
remote

Skills & Technologies

AzureMachine LearningNLPData ScienceDatabricksGenAIRAGEmbeddingsStakeholder ManagementRoadmapStrategyDeploymentWorkflow AutomationBenefitsAIAutomationCommunication SkillsStakeholder EngagementLeadershipBest Practice

Job Description

Lead AI & Data Scientist Global Professional Services Firm Location: London Working: Hybrid (3 days office / 2 days remote) Salary: Up to £140k + bonus & benefits

The Role

A senior leadership opportunity within a global professional services organisation investing heavily in Data & AI.

You'll play a key role in shaping and delivering the firm's AI roadmap, working closely with senior stakeholders to identify high-value use cases and take them from concept through to production.

This is a hands-on leadership role combining Data Science, GenAI, Solution Architecture and stakeholder engagement, focused on delivering AI-powered solutions that drive measurable business impact.

Key Responsibilities

Define the technical strategy for Data & AI initiatives across the business

Lead the design and delivery of GenAI, NLP, Machine Learning and RAGbased solutions

Translate complex business challenges into scalable AI products and capabilities

Own architecture patterns covering orchestration, retrieval, monitoring, evaluation and governance

Deliver AI use cases across document intelligence, knowledge search, workflow automation and AI assistants

Partner with business, product and engineering teams to embed AI into core processes

Evaluate emerging AI technologies and thirdparty vendors

Establish best practice around Responsible AI, model evaluation and production deployment

Mentor Data Scientists and provide technical leadership across delivery teams

Key Requirements

Proven experience leading Data Science, Machine Learning or GenAI initiatives within complex organisations

Experience building and deploying LLMpowered applications

Strong knowledge of RAG, embeddings, vector databases and retrieval architectures

Experience with Azure, Databricks and modern cloudbased AI platforms

Track record delivering AI solutions into production environments

Experience defining governance, monitoring and Responsible AI controls

Excellent stakeholder management and communication skills

Experience delivering AI solutions across documentheavy environments, particularly legal services, would be advantageous

This is an opportunity to shape how AI is adopted across a global organisation and play a leading role in moving innovative AI solutions from concept to enterprise-scale deployment.

No sponsorship available.

Get in touch for more details -

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Company & Role Analysis

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Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
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