Faculty

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 the most cutting edge AI, and use it to improve the performance of their business. That’s all we’ve ever done. No chasing hype cycles. Just AI. We take it very seriously. We've done a lot of it over the years. We've worked with hundreds of organisations, from right across the economy and right across the globe. We’re very proud of this track record. We feel very privileged to have supported some of the most important organisations in the world, to grapple with the big challenges of our age. We care deeply about the impact of our work. That’s what motivates us above all.

faculty.ai

Faculty

faculty.ai

HQGB

Team Size1034

Open Jobs58

Total Funding$53M

Latest FundraiseUnknown

TL;DR

Founded: 2014

Headquarters: London

Core offering: Applied AI, decision-intelligence platform (Faculty Frontier) and AI consultancy

Recent notable funding: £30M growth round (May 2021) led by Apax Digital Fund

Related Companies

Company	HQ	Industry	Total Funding
PhysicsX	🇬🇧GB	Data and AnalyticsDeepTechInformation TechnologySoftware	$187M
Lexsi Labs	🇺🇸US	Data and AnalyticsDeepTech	-
AILY LABS	🇩🇪DE	Data and AnalyticsDeepTechInformation TechnologySoftware	-
Warden AI	🇺🇸US	HR and RecruitingInformation Technology	-
Flower	🇸🇪SE	Data and AnalyticsDeepTechSoftwareSustainability	-

Company Overview

Problem Domain

Bridging gap between data/models and real-world business decisions to enable safe, impactful AI deployments.

Founded

2014

Industry

Technology, Information and Internet

Funding Track Record

Growth- May 23, 2021

£30,000,000

Reported as a growth round that brought total investment to nearly £40M at the time.

Series A- December 2019

USD 10,500,000

Series A reported in December 2019; named investors in reporting include LocalGlobe, GMG Ventures and Jaan Tallinn.

Investor Signal

“Backed by investors including Apax Digital Fund, LocalGlobe, GMG Ventures LP, and angel investor Jaan Tallinn”

Founders

What we do

Join the Team

Lead Data Scientist - Customer Development

HybridLondon, GB

Hybrid • London, GB

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.

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

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.

Some of our standout benefits:

Unlimited Annual Leave Policy
Private healthcare and dental
Enhanced parental leave
Family-Friendly Flexibility & Flexible working
Sanctus Coaching
Hybrid Working (2 days in our Old Street office, London)

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.

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

DevOps Engineer

Part-timeSan Francisco, US

Part-time • San Francisco, US

Backend Developer

ContractUtrecht, NL

Contract • Utrecht, NL

Machine Learning Engineer

Full-timeManchester, GB

Full-time • Manchester, GB

Frontend Developer

Part-timeSan Francisco, US

Part-time • San Francisco, US

Technical Writer

Full-timeUtrecht, NL

Full-time • Utrecht, NL

Backend Developer

ContractBelgrade, RS

Contract • Belgrade, RS

Guiding the technical delivery of Frontier deployments, from initial discovery to the productionisation of computational twins.

Owning the end-to-end data science approach, including designing and implementing optimal techniques from EDA to deep learning.

Partnering with commercial teams and clients as a trusted technical advisor to build strong, lasting relationships.

Articulating complex technical concepts, model design choices, and strategic decisions clearly to diverse C-suite and engineering audiences.

Formally managing and mentoring data scientists, taking direct responsibility for their professional growth and career progression.

Establishing a distinct data science vision and driving best practices for configuring the Frontier product.

Keeping abreast of the latest advancements in AI and identifying how they can be incorporated into the Frontier product and delivery workflows.

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)