TL;DR

Senior Data Scientist (National Security): Leading and delivering bespoke AI and data science solutions for national security and AI safety with an accent on robust software architecture, algorithm development, and team leadership. Focus on designing innovative data science approaches, mentoring technical teams, and managing high-stakes projects with government and commercial clients.

Location: London, UK, hybrid work format with occasional onsite client visits. Eligibility for UK Developed Vetting (DV) required.

Company

Faculty is a product company specializing in human-centric AI, partnering with government, finance, retail, energy, life sciences, and defence sectors to deliver responsible AI solutions.

What you will do

  • Lead project teams delivering bespoke algorithms and AI solutions for national security clients.
  • Define data science approaches and design robust software architectures.
  • Mentor junior data scientists and support their professional growth.
  • Collaborate with commercial teams to shape project scope and client relationships.
  • Contribute to thought leadership through courses, public speaking, and open-source projects.
  • Ensure best practices and high-quality delivery throughout project lifecycles.

Requirements

  • Must be eligible for UK Developed Vetting (DV) and willing to work onsite occasionally.
  • Senior experience in data science or quantitative academic field.
  • Strong Python programming skills including NumPy, Pandas, and deep learning frameworks like PyTorch.
  • Expertise in data science paradigms including supervised/unsupervised learning and NLP.
  • Leadership mindset with experience mentoring and growing technical teams.
  • Commercial awareness and client-facing experience translating business problems into mathematical frameworks.

Culture & Benefits

  • Unlimited annual leave policy.
  • Private healthcare and dental coverage.
  • Enhanced parental leave and family-friendly flexibility.
  • Sanctus coaching and hybrid working model.
  • Supportive culture valuing diversity and intellectual curiosity.

Hiring process

  • Initial talent team screen (30 minutes).
  • Take-home technical assessment.
  • Technical interview (90 minutes).
  • Commercial interview (60 minutes).