--- title: 'Data Scientist at Faculty' canonical: 'https://feeny.ai/job/data-scientist-faculty-london-jmkcw3yb4rj7' type: 'job' last_seen: '2026-10-23' --- # Data Scientist at Faculty - **Company:** [Faculty](https://feeny.ai/companies/faculty) - **Location:** London, United Kingdom - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-22 - **Last confirmed live:** 2026-10-23 - **Apply:** https://jobs.ashbyhq.com/faculty/0b6ad03f-8633-47ef-9dec-a8eb3cebf9b2 ## 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 Our Energy, Transition and Environment business unit is pioneering meaningful change in the clean energy revolution. Our vision is to accelerate the transition to net-zero emissions and drive efficiencies for a new era of utility companies. We believe that the responsible, and intelligent, deployment of AI is critical to the success of this mission. We partner with a wide range of clients - from major energy operators, to GreenTech startups, and national infrastructure providers - to build solutions which return measurable impact and move us towards a smarter, cleaner, and more sustainable world. About the role: As a Data Scientist II at Faculty, you will lead the design of end-to-end analytical approaches, developing high-quality models that solve complex, multi-faceted business problems. Joining our Applied AI division, you will leverage advanced programming to turn high-level client needs into rigorous mathematical frameworks. This role is for an ambitious practitioner ready to own the delivery of robust, scalable model components while ensuring every solution is mathematically sound and ethically responsible. You will play a vital part in pushing our technical boundaries and mentoring others. What you'll be doing: - Designing and implementing core data science approaches for project workstreams, including the selection of optimal algorithms and validation strategies. - Combining deep domain expertise with advanced machine learning techniques to solve unique and complex business challenges. - Owning the end-to-end delivery of specific model components, ensuring they are scalable, robust, and mathematically precise. - Developing innovative algorithms or adapting existing frameworks to meet bespoke client requirements and technical constraints. - Building the software architecture required to wrap models and agentic workflows into production-grade, reliable environments. - Supporting Level 1 Data Scientists by providing technical guidance and conducting rigorous peer reviews on modeling tasks. - Managing personal delivery timelines while proactively identifying and mitigating technical risks or data limitations within projects. Who we're looking for: - You possess expertise in statistical modeling and deep learning frameworks, such as PyTorch or TensorFlow, to implement complex paradigms. - You are disciplined in extracting valid insights from messy or incomplete datasets, ensuring solutions remain robust under uncertainty. - You have the ability to translate high-level, ambiguous client needs into actionable data science requirements and mathematical frameworks. - You promote a culture of shared best practices, ensuring all AI development is transparent, ethical, and held to high peer-reviewed standards. - You are a clear communicator who can manage technical discussions with customers and articulate project feasibility and delivery timelines. - You are highly proficient in advanced Python and harness frameworks, capable of building the architectures necessary for production-grade AI. Our Interview Process - Talent Team Screen (30 minutes) - Take Home Technical Assessment - Technical Interview (90 minutes) - Commercial Interview (60 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 Data Scientist](https://feeny.ai/job/senior-data-scientist-faculty-london-qme3k2wpeg41) — London, United Kingdom - [Senior Machine Learning Engineer](https://feeny.ai/job/senior-machine-learning-engineer-faculty-london-j4vya36eaq58) — London, United Kingdom - [Lead Data Scientist](https://feeny.ai/job/lead-data-scientist-faculty-london-e1bj3z57szdy) — London, United Kingdom - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-faculty-london-z69jvmrczpan) — London, United Kingdom - [Learning & Development Co-ordinator](https://feeny.ai/job/learning-development-co-ordinator-faculty-london-zgdhndnxaj0p) — London, United Kingdom - [FP&A Business Partner](https://feeny.ai/job/fp-a-business-partner-faculty-london-2fyhd8pvjxvk) — London, United Kingdom - [Frontend Engineer](https://feeny.ai/job/frontend-engineer-faculty-london-3djra6jpccye) — London, United Kingdom - [Lead Data Scientist (Safety)](https://feeny.ai/job/lead-data-scientist-safety-faculty-london-65hhx1nfe1ee) — London, United Kingdom - [Lead Software Engineer (Safety)](https://feeny.ai/job/lead-software-engineer-safety-faculty-london-0fexhvwdqwpq) — London, United Kingdom - [Lead Machine Learning Engineer (Safety)](https://feeny.ai/job/lead-machine-learning-engineer-safety-faculty-london-811st5mg4af2) — London, United Kingdom