▷ [High Salary] Senior Data Scientist...

About Faculty At Faculty, we transform organisational
performance through safe, impactful and human-centric AI. With a
decade of experience, we provide over 300 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 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, for designing the associated
software architecture, and for 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. Particularly in the initial
stages of commercial engagements, you will guide the process of
defining the scope of projects to come with an emphasis on
technical feasibility. We consider this work as fundamental towards
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. The
latter includes giving targeted support where needed, and providing
step-up opportunities where helpful. Faculty has earned wide
recognition as a leader in practical data science. You will
actively contribute to the growth of this reputation by delivering
courses to high-value clients, by talking at major conferences, by
participating in external roundtables, or by 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. Thanks to Faculty platform,
you will have access to powerful computational resources, and you
will enjoy the comforts of fast configuration, secure collaboration
and easy deployment. 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 as evidenced by earlier work in data science or
software engineering. Although your programming language of choice
(e.g. R, MATLAB or C) is not important, we do require the ability
to become a fluent Python programmer in a short timeframe - 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. We regard the ability to develop new algorithms when an
innovative solution is needed as a fundamental skill - A leadership
mindset focussed on growing the technical capabilities of the team;
a caring attitude towards the personal and professional development
of other data scientists; enthusiasm for nurturing a collaborative
and dynamic culture - An appreciation for the scientific method as
applied to the commercial world; a talent for converting business
problems into a mathematical framework; resourcefulness in
overcoming difficulties through creativity and commitment; a
rigorous mindset in evaluating the performance and impact of models
upon deployment - Some commercial experience, particularly if this
involved client-facing work or project management; eagerness to
work alongside our clients; business awareness and an ability to
gauge the commercial value of projects; outstanding written and
verbal communication skills; persuasiveness when presenting to a
large or important audience - Experience leading a team of data
scientists (to deliver innovative work according to a strict
timeline) as well as experience in composing a project plan, in
assessing its technical feasibility, and in estimating the time to
delivery What we can offer you: The Faculty team is diverse and
distinctive, and we all come from different personal, professional
and organisational backgrounds. We all have one thing in common: 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. Our consultants, product
developers, business development specialists, operations
professionals and more all bring something unique to Faculty, and
you’ll learn something new from everyone you meet.
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