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Faculty

Lead Data Scientist

Faculty

. Set the technical direction for complex, business-critical projects .

Posted 11/6/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in project management and technical leadership, with a focus on delivering innovative solutions in data science while mentoring team members and aligning technical strategies with commercial objectives.

Highest-signal resume keywords
Project Management ExpertiseMachine Learning Domain ExpertiseTechnical Leadership SkillsCross-Functional CollaborationCustomer Leadership Skills

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ScienceMachine LearningTechnical ScopingFeasibility StudiesTechnical SpecificationsArchitectural DesignProduction-Grade SolutionsBest Practices AdoptionRoadmap DevelopmentProblem Solving
Soft Skills
MentoringCommunicationStakeholder ManagementCollaborationLeadership
Industry Keywords
Technical DirectionBusiness-Critical ProjectsCommercial GoalsData Science CraftHigh-Value Sales OpportunitiesInnovative OutcomesUK Visa Sponsorship

About the role

Key responsibilities & impact
  • Set the technical direction for complex, business-critical projects
  • Balance trade-offs between speed, innovation, and reliability
  • Design and implement reliable, production-grade technical solutions
  • Document architectures and technical specifications
  • Define project problems and develop clear roadmaps
  • Oversee end-to-end delivery across multi-disciplinary workstreams
  • Lead technical scoping and feasibility studies for high-value sales opportunities and strategic customer engagements
  • Manage relationships and communications with technical stakeholders
  • Align technical solutions with long-term commercial goals
  • Drive adoption of best practices, shared resources, and robust technical processes across the Data Science craft
  • Mentor and develop data scientists and other team members
  • Contribute to the organisation’s technical excellence and growth

Requirements

What you’ll need
  • Proven project management expertise, including dividing complex, ill-defined problems into actionable workstreams with defensible timelines
  • Strong customer leadership skills and ability to act as a trusted technical advisor
  • Deep expertise in at least one machine learning domain
  • Strong technical breadth across the data science landscape
  • Technical leadership skills, including mentoring individuals, managing teams and other managers, and rolling out impactful tools and workflows
  • Ability to manage ill-defined, high-risk tasks and deliver innovative, practical outcomes under commercial pressure
  • Cross-functional collaboration with Engineering, Commercial, and Infrastructure teams
  • Experience extending technical oversight to business unit-level initiatives
  • Must address UK visa sponsorship requirements in the application
  • Required CV, name, email address, and phone number

Benefits

Comp & perks
  • Open to conversations about part-time hours
  • AI tools may be used for research and interview preparation
  • Option to opt out of the AI note-taker (Metaview) used in interviews