Data Scientist - Talent Pool

About Faculty

At Faculty, we transform organisational performance through safe, impactful, and human-centric AI.
With a decade of experience, we serve over 300 global customers with

software ,

bespoke AI consultancy , and Fellows from our award-winning

Fellowship programme .
Our expert team combines leaders from government, academia, and global tech giants to solve major challenges in applied AI.
If you join us, you'll work with and learn from some of the brightest minds bringing Frontier AI to the frontlines.
We're always seeking talented individuals whose principles align with ours. While no specific vacancies are open now, registering your interest for the Data Scientist Talent Pool will make you among the first to hear about relevant openings in our

Frontier Team

as they become available.
What you'll be doing:

As a Data Scientist in Frontier, you'll lead data science efforts on project teams configuring our product Frontier for clients. Each deployment involves building a computational twin, an AI-powered digital twin, which is primarily the responsibility of our data scientists to design and develop.
This role involves understanding customer problems deeply to ensure technical solutions deliver value. Core tasks include exploratory data analysis, model building, and evaluation.
Additional responsibilities include:
Leading within a cross-functional team working with engineers, designers, and commercial staff to deliver value.
Building strong client relationships and shaping project directions.
Contributing to the development of other data scientists through activity and potentially line management.
Who we're looking for:

Experience in professional data science or a quantitative academic field.
Strong Python programming skills demonstrated through prior work.
Proficiency with data science libraries (NumPy, Pandas, Scikit-Learn) and familiarity with deep learning frameworks (TensorFlow, PyTorch).
High mathematical competence and statistical proficiency.
Knowledge of standard data science techniques and ability to develop new algorithms.
Understanding of the scientific method in a business context, with problem-solving creativity and a rigorous evaluation mindset.
Some commercial experience, especially with client-facing work or project management, and excellent communication skills.
Leadership experience in guiding data science teams, project planning, and feasibility assessment.
A product mindset focused on user needs and delivering value with Frontier.
What we can offer you:

Our diverse team shares a deep intellectual curiosity that drives us. Faculty offers a professional challenge like no other, surrounded by brilliant minds working toward shared goals.
You'll learn from a variety of professionals across disciplines, gaining new insights every day.

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