--- title: 'Principal Data Scientist at Faculty' canonical: 'https://feeny.ai/job/principal-data-scientist-faculty-london-2x20mx2ptz9s' type: 'job' last_seen: '2026-09-11' --- # Principal Data Scientist at Faculty - **Company:** [Faculty](https://feeny.ai/companies/faculty) - **Location:** London, United Kingdom - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2025-11-25 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.ashbyhq.com/faculty/efa8d13e-5166-4ae2-bf10-b1392afd3528/application **Skills:** Python, Machine Learning, Generative AI, Agentic AI, Large Language Models, Scalable Codebases > Serve as a technical leader and domain expert driving the delivery of complex AI projects for financial clients. Set technical direction, mentor the data science team, and contribute to the development of shared resources and best practices. ## Job description Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact [here](https://faculty.ai/impact). We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ## About the team In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape. We develop and embed AI solutions which help financial institutions become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for impactful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment. ## #LI-PRIO ## About the role As a Principal Data Scientist at Faculty, you will serve as a technical leader and domain expert who owns and drives the delivery of the most technically complex, high-impact projects and programmes for our most important clients. You also will set the technical direction for the data science team, mentor, and develop them so our data scientists remain best in class. This position focuses on deep individual contribution and technical excellence, influencing the broader data science community at Faculty. What you'll be doing: - Serving as a technical authority on machine learning, Generative AI, and other advanced data science methods to deliver innovative and impactful solutions. - Leading the development of shared resources, frameworks, and best practices adopted across teams and the company. - Contributing to the scoping and bid processes for large-scale, high-stakes projects, influencing client decisions with technical expertise. - Owning a portfolio of work within a specific sector, applying expert knowledge to deliver exceptional value to clients. - Leading and mentoring project teams and direct reports, ensuring the successful delivery of high-value and complex projects. - Acting as a thought leader, publishing papers, and presenting at industry and scientific conferences to amplify a distinctive AI vision for our clients Who we're looking for: - You bring demonstrable technical ability, creativity and flexibility from your extensive experience (in academia , industry or both) as thought leader in this space - You’ll have prior experience working in or for financial services clients, with standout examples where you’ve led the delivery of distinctive applications that have driven commercial impact - You bring broad knowledge across a range of machine learning techniques, including experience building Generative AI and agentic AI applications with Large Language Models - You have advanced coding skills in Python and proven experience building and maintaining scalable codebases. - You enjoy mentoring junior colleagues and have prior direct management experience, inspiring them to continually stretch and grow their technical skill. - You are highly proficient in strategic problem-solving and communicating solutions to non-technical audiences, able to select appropriate solutions and balance innovation with practical implementation. The Interview Process - Talent Team Screen (30 minutes) - Introduction to Business Unit Director (30 minutes) - Take Home Technical Assessment - Technical Interview (90 minutes) - Commercial & Principles Interview (90 minutes) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re 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. 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. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI. ## About Faculty ## Company Overview - **One-liner**: Faculty is a British AI company that builds and deploys safe, human-led AI systems to help organizations across government and industry make better decisions and improve performance. - **Entity Type**: Private (Growth Stage) - **Headquarters**: London, United Kingdom - **Founded**: 2014 - **Founders**: Dr. Marc Warner (CEO), Dr. Angie Ma, and Andrew Brookes (CTO) ## Core Business - **Primary industry/industries**: Artificial Intelligence, Machine Learning, Data Science, AI Safety - **Target customers**: B2B, Enterprise, Government (including UK Ministry of Defence, NHS, and leading global brands) - **Mission or purpose statement**: "Putting AI to work for the world" — making AI useful by helping clients access cutting-edge AI to improve business performance. ## Products & Services - **Frontier (AI Operating System)**: Faculty’s proprietary AI platform that serves as the backbone for building, deploying, and managing AI solutions at scale. It enables clients to operationalize AI across their organizations. - **AI Consulting & Solutions**: Custom AI projects for clients, spanning decision intelligence, predictive analytics, and process automation. Notable work includes the NHS Covid Early Warning System and mission-critical projects for the UK Ministry of Defence. - **Fellowship Programme**: A prestigious, highly selective program that retrains academics (PhD-level) into commercial data scientists. It has over 425 alumni and is considered one of the best in Europe. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company) - **Key Metric**: Revenue has grown by more than 20x under the tenure of Chief Commercial Officer John Gibson. Specific revenue figures are not publicly available. - **Notable Investors/Partners**: Not publicly disclosed in detail, but the company has worked with hundreds of organizations globally, including the UK Government, NHS, and major brands. The CCO, John Gibson, is a member of the Innovate UK Council. - **Growth Signals**: - 663 total employees (as per Built In profile) - Revenue growth of 20x+ under current commercial leadership - Over 425 alumni from its Fellowship programme - Active hiring across multiple senior roles (ML Engineer, Research Scientist, Full Stack Engineer, Data Scientist) - Strong government and defense sector relationships ## Competitive Advantages - **Deep Government & Defense Ties**: Proven track record with the UK Ministry of Defence and NHS, creating a high barrier to entry for competitors. - **AI Safety Focus**: Explicit commitment to safe, human-led AI — a key differentiator as AI regulation and ethics become paramount. - **Proprietary Platform (Frontier)**: A mature, in-house AI operating system that provides a technical moat and enables rapid deployment. - **Elite Talent Pipeline**: The Fellowship programme creates a unique, high-quality talent pool of PhD-level data scientists. - **Decade of Focus**: The company has been exclusively focused on AI since 2014, avoiding hype cycles and building deep expertise. ## Strategic Focus - **Scaling AI Impact**: Moving from bespoke consulting to platform-driven solutions via Frontier. - **AI Safety Leadership**: Investing heavily in AI safety research and roles (e.g., Principal Research Scientist - AI Safety). - **Government & Enterprise Expansion**: Deepening relationships with public sector clients while expanding into new commercial verticals. - **Talent Development**: Continuing to grow the Fellowship programme and invest in internal training and development. ## Why Work Here - **Mission-Driven Work**: Employees work on "the world’s most important problems" — from pandemic response to national security. - **Autonomy & Trust**: The company emphasizes operating with "an unusual amount of trust and autonomy." - **Culture of Depth & Kindness**: Values include "Be Humble & Kind," "Seek Truth," and "Maximise Impact." The culture is described as intellectually rigorous but collaborative. - **Hybrid Work Model**: Based in London with a hybrid working policy. Some roles are listed as remote (UK-based). - **Strong Benefits Package**: Includes equity, performance bonuses, generous parental leave, health/dental/vision insurance, free snacks and drinks, employee discounts, and job training/conferences. - **Diversity & Inclusion**: Offers diversity-based Employee Resource Groups and publishes a Gender Pay Gap report. - **Elite Peer Group**: Described as a place where you work with "conspicuously smart and kind" people — a "professional challenge of a lifetime." ## Sources 1. [faculty.ai](https://faculty.ai/company) 2. [faculty.ai](https://faculty.ai/current-vacancies) 3. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/faculty) 4. [builtin.com](https://builtin.com/company/faculty-0) ## Other roles at Faculty - [Senior Manager](https://feeny.ai/job/senior-manager-faculty-london-9651z715vzmm) — London, United Kingdom - [Platform Engineer](https://feeny.ai/job/platform-engineer-faculty-london-f11p2az0kcse) — London, United Kingdom - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-faculty-london-79d036wwxsx4) — London, United Kingdom - [Delivery Manager (Safety)](https://feeny.ai/job/delivery-manager-safety-faculty-london-5j0k9ctbwe6d) — London, United Kingdom - [Frontend Engineer](https://feeny.ai/job/frontend-engineer-faculty-london-3djra6jpccye) — London, United Kingdom - [Full Stack Software Engineer](https://feeny.ai/job/full-stack-software-engineer-faculty-london-czxqccttb608) — London, United Kingdom - [Learning and Development Manager](https://feeny.ai/job/learning-and-development-manager-faculty-london-srqkx83pxwkj) — London, United Kingdom - [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-faculty-london-4b4mw5w5vzj1) — London, United Kingdom - [Senior Data Scientist](https://feeny.ai/job/senior-data-scientist-faculty-london-h98ke65ga8nf) — London, United Kingdom - [Senior Manager - PE](https://feeny.ai/job/senior-manager-pe-faculty-london-3150yhf6c0qy) — London, United Kingdom