---
title: 'Lead Data Scientist at Faculty'
canonical: 'https://feeny.ai/job/lead-data-scientist-faculty-london-3w05crhh4hvh'
type: 'job'
last_seen: '2026-09-04'
---

# Lead Data Scientist at Faculty

- **Company:** [Faculty](https://feeny.ai/companies/faculty)
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-26
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/faculty/1f2cb0a2-4aa5-4ce3-b9fd-b90990076b6d

## 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

Bringing medicine to patients is complex, expensive and high-risk. Faculty’s Life Science’s team is concentrated on building AI solutions which optimise the research and commercialisation of life-changing therapies.

We partner with major pharma firms, academic research centres and regulators to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all.

## ABOUT THE ROLE

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 YOU'LL BE DOING:

- 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 technical stakeholders, 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 WE'RE LOOKING FOR:

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

## THE INTERVIEW PROCESS

1. Talent Team Screen (30 minutes)
2. Introduction to the team (30 minutes)
3. Take Home Technical Assessment
4. Technical Interview (90 minutes)
5. 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

- [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
- [Lead Software Engineer](https://feeny.ai/job/lead-software-engineer-faculty-london-4q4ndjrj1s15) — London, United Kingdom