Lead Data Scientist
Hybrid (Remote (UK))Full-timePosted 7mo ago
About the role
Lead Data Scientist role focusing on setting technical direction, delivering high-impact, production-grade ML solutions, mentoring teams, and shaping long-term customer relationships within Faculty’s Defence Data Science domain. Requires eligibility for UK Security Clearance and potential on-site work in the UK.
Responsibilities
- Setting the technical direction for complex, business-critical projects and expertly balancing trade-offs between speed, innovation, and reliability.
- Designing and implementing reliable, production-grade technical solutions, ensuring 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 demanding clients, fostering trust and aligning technical solutions with shared long-term commercial goals.
- Driving the 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, actively contributing to the growth and technical excellence of the organisation.
Qualifications
- Depth of expertise in at least one machine learning domain and strong technical breadth across the data science landscape.
- Skilled technical leader, proficient in mentoring, managing teams (including other managers), and rolling out impactful tools and workflows.
- Proven project management expertise with ability to break down complex problems into actionable workstreams with defendable timelines.
- Ability to manage ill-defined, high-risk tasks and deliver innovative, practical outcomes under commercial pressure.
- Strong customer leadership skills as a trusted technical advisor and driver of long-term strategic relationships.
- Excellent cross-functional collaboration with Engineering, Commercial (BD), and Infrastructure teams.
- Experience extending technical oversight to business unit-level initiatives and influencing organisational success.
Skills
Required:Machine learning expertiseTechnical leadershipProject managementClient managementCross-functional collaboration
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Faculty
Frontier AI for the frontlines of the world.
Faculty partners with organisations to enhance performance through cutting-edge artificial intelligence solutions, driving real-world impact.
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