Head of Data Science

LF Space
Bristol
9 months ago
Applications closed

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Associate Director, AI & Advanced Analytics

🚀 Head of Data Science & Analytics | Shape the Future of AI-Driven Insight


Our client is on the lookout for a transformational Head of Data Science & Analytics to lead the next chapter in their analytics evolution.


This is a rare opportunity for a commercially-minded data leader who’s passionate about the future of AI and advanced analytics. Someone who can confidently integrate cutting-edge tools and data sources into client-facing work that’s as strategically sharp as it is innovative.


Permanent|Salary c.ÂŁ90k - ÂŁ110k|Leadership-level


About Our Client:


They’re ambitious, collaborative, and deeply committed to innovation.


This hire is central to their mission: to embed data science thinking across the business and take their existing analytics offering to the next level.


The Mission


As Head of Data Science & Analytics, you’ll:


  • Lead the transformation from traditional statistics to AI-first, agile data science.
  • Identify and embed next-gen analytics tools (e.g. NLP, predictive modelling, generative AI).
  • Integrate diverse data sources: survey, social, behavioural, digital, and beyond.
  • Collaborate with creative/design teams to bring insights to life through compelling stories.
  • Mentor a growing team – building a culture of curiosity, experimentation, and excellence.
  • Ensure data privacy and ethical compliance is embedded in everything you do.


What You’ll Bring


You’re a data leader with:


  • A track record of blending traditional analytics with emerging AI/ML methodologies.
  • Hands-on skills in tools like Python, R, GPT models, cloud platforms (e.g. AWS/Azure).
  • Experience fusing structured and unstructured data to drive insight and value.
  • The ability to translate technical outputs into clear, commercially useful recommendations.
  • Leadership capability – both in strategy and in growing high-performing teams.
  • A mindset that is adaptive, curious, and commercially focused.


Example Backgrounds Might Include:


  • Innovative analytics consultancies or tech/data start-ups.
  • Digital marketing or customer experience agencies with a data-first approach.
  • In-house data science leads looking to shape a broader strategic function.
  • Individuals comfortable straddling data science, storytelling, and commercial insight.


If this feels like the right next move, please do apply.

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