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About the Role
As a Principal Data Scientist at Faculty, you will drive high impact transformation within our Defence team by taking ownership of complex machine learning delivery and sector specific strategy. You will act as a trusted technical authority and domain expert, leading project scoping, technical selling, and client management to deliver exceptional value. Balancing deep business knowledge with advanced analytical skill, you will shape cutting edge AI solutions, build robust client partnerships, and mentor data scientists across ambitious initiatives.
Responsibilities
- Owning and growing a strategic portfolio of machine learning work specifically tailored to the Defence sector.
- Translating client challenges into technical roadmaps by leading project scoping, delivery, and client engagement.
- Writing exemplary, production grade code to set technical standards on our most sophisticated delivery projects.
- Serving as a technical authority on machine learning across Faculty and representing our capabilities within the wider community.
- Partnering with commercial and delivery teams to drive technical selling, pitching, and business growth.
- Mentoring and guiding junior data scientists through complex problem solving, technical planning, and execution.
Requirements
- Deep domain expertise within Defence or other industries, allowing you to quickly spot opportunities and maximise impact.
- Enjoy mentoring junior colleagues and have prior direct management experience, inspiring them to continually stretch and grow their technical skill.
- Broad knowledge across a range of machine learning techniques, including experience building Generative AI and agentic AI applications with Large Language Models.
- Advanced coding skills in Python and proven experience building and maintaining scalable codebases.
- Excel at making pragmatic decisions, choosing optimal solutions based on time, resources, and complexity.
- Engaging communicator who builds trust effortlessly with senior stakeholders and technical counterparts.
- Eligible for UK Security Clearance (SC).
- Willing to work between 2 to 4 days per week on site with Defence clients.
- May require travel to locations throughout the UK.
Skills
- Machine Learning
- Generative AI
- Agentic AI
- Large Language Models
- Python
- Technical Selling
- Client Management
- Mentoring
Location
- London, UK
- Remote (within UK)
- Client sites throughout the UK
Work Type
- Hybrid
- Full-time
- Part-time (negotiable)
Experience Level
- Principal
- Senior
Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working
About the Company
- Faculty was established in 2014 with the belief that AI would be the most important technology of our time.
- Faculty has worked with over 350 global customers to transform their performance through human-centric AI.
- Faculty innovates, builds, and deploys responsible AI that makes a significant impact.
- Faculty possesses unparalleled depth of technical, product, and delivery expertise.
- Faculty serves clients across government, finance, retail, energy, life sciences, and defence sectors.
- Faculty's business and reputation are growing rapidly.
- Faculty seeks individuals with intellectual curiosity and a desire to build a positive legacy through technology.
- Faculty empowers employees to envision and implement powerful AI applications.
- The Defence team focuses on building and embedding human-centred AI solutions to give the nation a competitive edge in the defence sector.
- The Defence team collaborates with clients to bring ethical, reliable, and cutting-edge AI to high-stakes situations.
Equal Opportunity
- We aim to grow the best team - not the most similar one.
- Diversity of individuals fosters diversity of thought, which strengthens our principle of seeking truth.
- Diverse teams deliver better work, relevant to the world in which we live.
- We are united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact.
- We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.