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Lead Data Scientist at Faculty

Faculty is looking for a Lead Data Scientist to join their London-based Life Sciences team and revolutionize how medicine reaches patients. Recently acquired by Accenture, Faculty combines the agility of a specialized AI firm with global reach, working alongside a PhD-heavy team to deploy their Frontier Decision Intelligence platform. You will architect production-grade ML solutions, lead high-stakes client relationships with major pharma firms, and mentor world-class talent. If you have deep technical expertise and a passion for applying AI to complex scientific challenges, this is your chance to make a massive impact on global healthcare.

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Faculty

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Location

London, United Kingdom

Compensation

Not Disclosed

Company

Faculty

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Role overview

As a Lead Data Scientist at Faculty, you will spearhead technical direction for high-stakes life sciences projects. You’ll architect production-grade machine learning solutions that optimize the research and commercialization of life-changing therapies. This entrepreneurial role blends deep technical expertise with strategic client leadership, managing end-to-end delivery for major pharmaceutical firms and regulators.

London, United KingdomGrowth (VC-backed)

Founded in 2014, Faculty is one of Europe’s leading applied AI companies. Our suite of AI services and products spans everything organisations need to access frontier AI and get it into the hands of their frontline teams to support their most important work. Widely recognised as a leader in AI safety, we work closely with the world’s leading AI labs, such as OpenAI and Anthropic, to ensure their latest models are safe, human-led and explainable.

Our expertise spans working with Boards, leadership teams and governments to develop a robust AI strategy, designing, building and implementing high-performing AI solutions, and equipping organisations with the knowledge and skills they need to thrive in the AI era. Our PhD-heavy team of deep AI experts has delivered hundreds of real-world AI projects to improve critical public services and drive sustained economic returns across every sector of the economy. Headquartered in London, Faculty remains founder-led and has since raised over £40m from investors including The Apax Digital Fund, LocalGlobe and GMG Ventures.

Backed by Apax Digital Fund, LocalGlobe, GMG Ventures, GMG Ventures LP, Jaan Tallinn, Mercuri.

What you will do

  • Set the technical direction and architect reliable, production-grade machine learning solutions for complex, business-critical projects in the life sciences space.
  • Lead end-to-end project delivery by defining roadmaps, managing technical risks, and translating ill-defined problems into actionable, multi-disciplinary workstreams.
  • Act as a trusted technical advisor for senior stakeholders at major pharma firms, aligning innovative AI solutions with long-term commercial and healthcare goals.

Who this is a fit for

  • Possesses deep expertise in at least one machine learning domain and broad technical knowledge across the entire data science and engineering landscape.
  • Demonstrates proven experience in technical leadership, including mentoring data scientists, managing cross-functional teams, and establishing robust development best practices.
  • Combines a strong scientific background in areas like Physics or Computational Biology with the project management chops to deliver innovative outcomes under commercial pressure.

Why this role is remarkable

  • Join a PhD-heavy environment of world-class scientists from physics and machine learning backgrounds, collaborating with elite institutions like UCL and Harvard.
  • Drive tangible impact in the life sciences sector by building AI that accelerates how life-saving medicines and therapies reach patients globally.
  • Benefit from the backing of Accenture’s global AI portfolio while maintaining the innovative culture and autonomy of a specialized Decision Intelligence firm.

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