Lead Data Scientist, Faculty

🔒 Confidential Employer
Posted 28 April 2026
LOCATION
London
TYPE
Full-time
LEVEL
Director
CATEGORY
Artificial Intelligence
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Machine learning Data science Technical leadership Mentoring Project management Customer leadership Cross-functional collaboration AI solutions

FULL DESCRIPTION

Lead Data Scientist, [Employer hidden — view at passion-project.co.uk]

Company: [Employer hidden]

Location: London

Work Type: Hybrid

Job Type: Full-time

Experience Level: Director

Salary: Salary not provided

About the Role

Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty

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

What the job involves

  • 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

Who you are

  • 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 have proven project management expertise, capable of dividing complex, ill-defined problems into actionable, clearly defined workstreams with timelines you can defend
  • You are adept at managing ill-defined, high-risk tasks, consistently delivering innovative and practical outcomes under commercial pressure
  • You possess strong customer leadership skills, able to act as a trusted technical advisor and drive long-term strategic relationships with demanding clients
  • You excel at cross-functional collaboration, effectively aligning technical strategy with Engineering, Commercial (BD), and Infrastructure teams
  • You have experience extending technical oversight to business unit-level initiatives, using your vision to influence and contribute to organisational success

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

Application process

  • Talent Team Screen (30 minutes)
  • Introduction to the team (30 minutes)
  • Take Home Technical Assessment
  • Technical Interview (90 minutes)
  • Commercial Interview (60 minutes)
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