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Lead Data Scientist

Faculty· Data Science
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Hybrid (London)Full-timePosted 2mo ago

About the role

Lead Data Scientist role focusing on setting technical direction, delivering production-grade ML solutions, mentoring teams, and shaping long-term customer relationships within Faculty's Life Sciences team.

Responsibilities

  • Setting the technical direction for complex, business-critical projects and balancing trade-offs between speed, innovation, and reliability.
  • Designing and implementing reliable, production-grade technical solutions, with comprehensive documentation of architectures and specifications.
  • Defining project problems, developing clear roadmaps, and overseeing end-to-end delivery across multi-disciplinary workstreams.
  • Leading technical scoping and feasibility studies for high-value sales opportunities and strategic customer engagements.
  • Managing relationships and communications with technical stakeholders, aligning solutions with long-term commercial goals.
  • Driving adoption of best practices, shared resources, and robust technical processes across the wider Data Science craft.
  • Mentoring and developing other data scientists and team members, contributing to growth and technical excellence.

Qualifications

  • Proven project management expertise, able to break down complex problems into actionable workstreams with defendable timelines.
  • Strong customer leadership skills, able to act as a trusted technical advisor and drive long-term strategic relationships with demanding clients.
  • Depth of expertise in at least one machine learning domain and broad technical breadth across the data science landscape.
  • Skilled technical leader, proficient in mentoring individuals, managing teams (including other managers), and rolling out impactful tools and workflows.
  • Experience managing ill-defined, high-risk tasks, delivering innovative and practical outcomes under commercial pressure.
  • Excellent cross-functional collaboration, aligning technical strategy with Engineering, Commercial, and Infrastructure teams.
  • Experience extending technical oversight to business unit-level initiatives and influencing organisational success.

Skills

Required:Project managementCustomer leadershipMachine learning
Last updated Oct 21, 2026. Interested? Apply on the company site.
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