
We set Faculty up in 2014 because we thought that AI would be the most important technology of our time. Our sole purpose is to make it useful to the world. We do that by helping our clients access…

We set Faculty up in 2014 because we thought that AI would be the most important technology of our time. Our sole purpose is to make it useful to the world. We do that by helping our clients access…
Founded: 2014
Headquarters: London
Core focus: Applied AI, enterprise AI platform (Frontier), consultancy and training
Notable customers: Public- and private-sector organisations including the NHS
Total funding (reported): USD 52,800,000
Deployment and operationalisation of AI in enterprises and public-sector organisations with emphasis on AI safety and impact.
2014
Technology, Information and Internet
USD 10,500,000
Reported Series A in Dec 2019; investors cited include LocalGlobe, GMG Ventures and Jaan Tallinn.
USD 42,500,000
Reported growth round led by Apax Digital Fund; other investors include LocalGlobe and GMG Ventures.
“Backed by institutional and strategic investors including The Apax Digital Fund, LocalGlobe, GMG Ventures, and angel investor Jaan Tallinn.”
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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.
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
The Faculty Frontier TM product is our ambitious vision to create the first enterprise-grade platform that unifies decision intelligence with AI Agents to optimise real-world outcomes of critical processes across large-scale organisations. You will work on highly complex and consequential problems across the real economy, with particular focus on healthcare and life sciences.
About the role
As a Lead Data Scientist to define the technical future of our flagship Frontier product, you will lead project teams in designing and building bespoke computational twins—AI-powered digital twins—that transform client decision-making. This role demands ownership of the technical data science vision, direct client partnership, and mentoring the next generation of data science talent. This is a pivotal opportunity to drive innovative, high-impact AI deployments.
What you'll be doing:
Who we're looking for:
#LI-PRIO
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.
Some of our standout benefits:
If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - talent@faculty.ai Please know we are open to conversations about part-time roles or condensed hours.
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You have deep technical expertise in machine learning and a command of diverse statistical and data science methodologies (e.g., supervised/unsupervised learning, Bayesian inference, time-series analysis).
You possess strong Python skills and excellent proficiency with core data science libraries (NumPy, Pandas, Scikit-Learn), plus familiarity with deep-learning frameworks (TensorFlow, PyTorch).
You have proven experience leading data science projects, making key decisions on technical direction, model selection, and architecture.
You are an exceptional communicator, capable of translating complex business problems into mathematical frameworks and presenting persuasive technical solutions to senior audiences.
You possess a strategic, product-oriented mindset, deeply understanding user needs and connecting them to the value delivered by a technical product like Frontier.
You are passionate about developing people and have experience formally managing or mentoring other technical professionals.
You bring essential commercial experience, particularly in client-facing work or consulting, and are motivated to deliver innovative work successfully to strict timelines.
Interview Process
Talent Screen (30 mins)
Technical Interview (90 mins)
Commercial and Leadership interview (60 mins)
Principles Interview (60 mins)