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Lead AI & Data Scientist

Job in London, Greater London, W1B, England, UK
Listing for: Talent Locker
Full Time position
Listed on 2026-06-09
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 140000 GBP Yearly GBP 140000.00 YEAR
Job Description & How to Apply Below
Position: Lead AI & Data Scientist
Lead AI & Data Scientist
London/ Hybrid | up to £140k + Benefits

Most data leadership roles sit at one end of the spectrum. Either highly technical, buried in models and architecture, or heavily stakeholder-focused with little involvement in the actual delivery.

This role sits in the middle (or both). They need your skills in a client and stakeholder facing, upwards and downwards management and technical understanding.

You'll lead a growing Data science function responsible for delivering real-world AI, machine learning and data science solutions across a complex professional services environment. The challenge is not simply building models. It's understanding business problems, translating them into practical solutions, and helping senior stakeholders understand exactly how technology can create value.

The team is already delivering across machine learning, GenAI, document intelligence, search, retrieval, automation and knowledge management. The next phase involves expanding AI capability, shaping a longer-term roadmap around emerging technologies such as Agentic AI, and driving adoption across the wider business.

Key responsibilities include:

Leading a team of Data Scientists and AI specialists
Defining Data & AI strategy and technical direction
Designing and delivering Machine Learning, NLP, GenAI and RAG-based solutions
Working directly with senior business stakeholders and clients
Translating complex technical concepts into clear business language
Driving delivery of AI products from concept through to production
Establishing governance, evaluation frameworks and responsible AI controls
Coaching and mentoring technical teams while remaining hands-on when required

To be successful, you'll need a strong background in Data Science, Machine Learning and modern AI technologies, combined with the communication skills to operate confidently from technical workshops through to executive-level discussions.

If you can articulate complex AI concepts in 30 seconds, influence stakeholders at every level, and lead a team focused on solving difficult business problems with data - please apply.

An opportunity to help shape the future direction of AI within a business that is investing heavily in the technology, in a disruptive industry and determined to stay ahead of the curve
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