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A leading AI company in the United Kingdom is seeking a Senior Data Scientist to lead data science initiatives within project teams. You will be responsible for building computational twins for deploying the product, ensuring customer needs are met with effective solutions. The ideal candidate will have senior experience in data science, strong Python skills, and a leadership mindset focused on team development. This role also offers benefits like unlimited annual leave and hybrid working arrangements.
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.
As a Senior Data Scientist within Frontier, you will lead the data science work on project teams that are configuring our product Frontier for our customers. Each deployment of Frontier requires a computational twin, essentially an AI‑powered digital twin, to be built, and it is primarily the responsibility of our data scientists to both design and then build these computational twins.
Whilst doing this well is partly about building familiarity with Frontier’s development interfaces, it’s mainly about doing things that are critical in any applied data science role; namely deeply understanding the core customer problem in order to ensure that the technical solution can drive value. In terms of more technical activities, the build of a computational twin involves a bunch of tasks common to all data science work such as EDA, model building, and model evaluation.
In terms of other activities you’ll do in the role:
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.