Data Scientist (Faculty)
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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.
About The Team
Our Defence team is focused on building and embedding human‑centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting‑edge AI to high‑stakes situations and maintain the balance of global powers essential to our liberty.
Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work up to three days per week on‑site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK.
About The Role
As a Data Scientist, you will work closely with clients and cross‑functional teams to define project scope, ensure technical feasibility, and drive delivery excellence.
You’ll design and deliver bespoke data science solutions, shaping the technical direction of high‑impact projects and solidifying our reputation as a leader in practical, measurable AI.
What You're Doing
* Mapping the end‑to‑end data science approach and designing the associated software architecture for projects
* Driving the technical scoping and feasibility assessment of new projects
* Building strong client relationships by acting as a technical advisor and shaping the direction of current and future engagements
* Delivering bespoke algorithms and scalable software solutions that adhere to best practices for high‑stakes decision‑making
* Setting the technical bar for the project team, ensuring the highest standards of code, rigour, and delivery quality (IC leadership)
* Contributing to Faculty's thought leadership and reputation through teaching, public speaking, or open‑source projects
Who We're Looking For
* You have proven experience in a professional data science or quantitative academic role, underpinned by high mathematical and statistical competence.
* You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep‑learning framework (TensorFlow/PyTorch).
* You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time‑series, NLP, model validation) and the ability to innovate new algorithms.
* You apply a rigorous scientific and entrepreneurial mindset, translating complex business problems into a mathematical framework and measuring model impact upon deployment.
* You are an exceptional communicator, adept at translating complex technical solutions into persuasive, actionable insights for senior and non‑technical audiences.
* You contribute to team success by project planning, assessing technical feasibility, estimating delivery timelines, and achieving measurable outcomes.
Our Interview Process
* Talent Team Screen (30 minutes)
* Take Home Technical Test
* 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 diverse thinking and 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.
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