<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>Lead AI &amp;amp; Data Scientist - Talent Locker RSS Feed</title>
    <link>https://jobs.co.uk/job/lead-ai-amp-data-scientist-talent-locker--23342994-527d-4e66-a1a1-0efc11dadc6b</link>
    <description>RSS feed for Lead AI &amp;amp; Data Scientist at Talent Locker.</description>
    <language>en-gb</language>
    <lastBuildDate>Wed, 10 Jun 2026 20:13:47 GMT</lastBuildDate>
    <item>
      <title>Lead AI &amp;amp; Data Scientist - Talent Locker</title>
      <link>https://jobs.co.uk/job/lead-ai-amp-data-scientist-talent-locker--23342994-527d-4e66-a1a1-0efc11dadc6b</link>
      <guid>https://jobs.co.uk/job/lead-ai-amp-data-scientist-talent-locker--23342994-527d-4e66-a1a1-0efc11dadc6b</guid>
      <pubDate>Tue, 09 Jun 2026 23:00:00 GMT</pubDate>
      <description>Location: London | Salary: &amp;pound;130000 - &amp;pound;140000/annum | Type: Permanent | Lead AI &amp; 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 Sc...</description>
      <category>Permanent</category>
    </item>
  </channel>
</rss>