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About Faculty
At Faculty, we transform organisational performance through safe, impactful and human‑centric AI.
With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award‑winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.
We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client‑side for up to three days per week and working either from home or our Old Street office for the rest of your time.
What You'll Be Doing
As a Senior Data Scientist in our Defence business unit you will lead project teams that deliver bespoke algorithms to our clients across the defence and national security sector. You will be responsible for conceiving the data science approach, designing the associated software architecture, and ensuring that best practices are followed throughout.
You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. In particular, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility, ensuring that Faculty can continue to deliver high‑quality software within the allocated timeframes.
You will play an important role in the development of others at Faculty by acting as the designated mentor of a small number of data scientists, and by supporting the professional growth of data scientists on the project team. You will also contribute to the growth of our reputation by delivering courses to high‑value clients, speaking at major conferences, participating in external roundtables, and contributing to large‑scale open‑source projects. You will have the opportunity to teach on the fellowship about topics ranging from basic statistics to reinforcement learning, and mentor fellows through their 6‑week project.
Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team.
Who We're Looking For
* Senior experience in either a professional data science position or a quantitative academic field.
* Strong programming skills and ability to become a fluent Python programmer in a short timeframe.
* Excellent command of basic libraries for data science (NumPy, Pandas, Scikit‑Learn) and familiarity with a deep‑learning framework (TensorFlow, PyTorch, Caffe).
* High level of mathematical competence and proficiency in statistics.
* Solid grasp of supervised/unsupervised machine learning, model cross‑validation, Bayesian inference, time‑series analysis, simple NLP, effective SQL querying, and writing APIs for models.
* Leadership mindset focused on growing technical capabilities, caring attitude toward professional development, and nurturing a collaborative culture.
* Appreciation for scientific method applied to the commercial world, talent for converting business problems into mathematical frameworks, and rigorous mindset in evaluating model performance and impact.
* Commercial experience, especially client‑facing work or project management; strong written and verbal communication skills; persuasiveness when presenting to audiences.
* Experience leading a team of data scientists and delivering innovative work under strict timelines.
What We Can Offer You
The Faculty team is diverse and distinctive, driven by deep intellectual curiosity. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals, and you’ll learn something new from everyone you meet.
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