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Data Science & AI
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Lead Data Scientist

Faculty
United Kingdom
Verified OpportunityChecked by PathwayAI staff.

Role Summary

Join Faculty as a Lead Data Scientist to innovate AI solutions for healthcare, overseeing projects with major pharma firms and academic centers.

About the Organisation

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.

We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.

Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.

AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.

Bringing medicine to patients is complex, expensive and high-risk. Faculty’s Life Science’s team is concentrated on building AI solutions which optimise the research and commercialisation of life-changing therapies.

We partner with major pharma firms, academic research centres and regulators to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all.

As a Lead Data Scientist, you'll take on a pivotal, entrepreneurial role, functioning as the technical expert who thrives on complexity and commercial impact. You will be responsible for setting the technical direction and ensuring the high-quality, scalable delivery of our most challenging, high-impact projects.

This position combines deep expertise in machine learning with strategic oversight to define project roadmaps, manage technical risk, and architect reliable solutions. Your focus will be on driving innovation, mentoring cross-functional teams, and actively shaping both our technical standards and long-term customer relationships.

  • You have proven project management expertise, capable of dividing complex, ill-defined problems into actionable, clearly defined workstreams with timelines you can defend.
  • You possess strong customer leadership skills, able to act as a trusted technical advisor and drive long-term strategic relationships with demanding clients.
  • You bring depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science landscape.
  • You are a skilled technical leader, proficient in mentoring individuals, managing teams (including other managers), and rolling out impactful tools and workflows.
  • You are adept at managing ill-defined, high-risk tasks, consistently delivering innovative and practical outcomes under commercial pressure.
  • You excel at cross-functional collaboration, effectively aligning technical strategy with Engineering, Commercial, and Infrastructure teams.
  • You have experience extending technical oversight to business unit-level initiatives, using your vision to influence and contribute to organisational success.

Working Conditions

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.

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  • Unlimited Annual Leave Policy
  • Private healthcare and dental
  • Enhanced parental leave
  • Family-Friendly Flexibility & Flexible working
  • Sanctus Coaching
  • Hybrid Working

Requirements

machine learning
project management
technical expertise

Eligibility Criteria

Eligible applicants should have expertise in AI and machine learning, and experience in managing complex projects.

Exp. LevelNot specified
EducationNot specified

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Published On
August 27, 2026
Application Deadline
Ongoing / No specific deadline
Location
UK - London
Employment Type
Full Time • On-site
Source
Arbeitnow
Last verified: August 28, 2026
Degree Level
Any
Visa Sponsorship
Visa Sponsorship Available
Africa Eligibility
International — African Eligibility Unclear
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