Remote Senior Data Scientist in Middlesbrough

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. 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 at times 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.
• You will guide the process of defining the scope of projects to come with an emphasis on technical feasibility.
• 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 actively contribute to the growth of Faculty's reputation by delivering courses to high-value clients, talking at major conferences, participating in external roundtables, or contributing to large-scale open-source projects.
• You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project.
• You will 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 as evidenced by earlier work in data science or software engineering.
• An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe).
• A high level of mathematical competence and proficiency in statistics.
• A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross-validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models.
• A leadership mindset focused on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists.
• An appreciation for the scientific method as applied to the commercial world; resourcefulness in overcoming difficulties through creativity and commitment.
• Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; outstanding written and verbal communication skills.
• Experience leading a team of data scientists to deliver innovative work according to a strict timeline.

What we can offer you:

The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals.