(Only 24h Left) Senior Data Scientist

About Faculty At Faculty, we transform organisationalperformance through safe, impactful and human-centric AI. With adecade of experience, we provide over 300 global customers withsoftware, bespoke AI consultancy, and Fellows from our awardwinning Fellowship programme. Our expert team brings togetherleaders from across government, academia and global tech giants tosolve the biggest challenges in applied AI. Should you join us,you’ll have the chance to work with, and learn from, some of thebrilliant minds who are bringing Frontier AI to the frontlines ofthe world. We operate a hybrid way of working, meaning that you'llsplit your time across client location, Faculty's Old Street officeand working from home depending on the needs of the project. Forthis role, you can expect to be client-side for up-to three daysper week at times and working either from home or our Old streetoffice for the rest of your time. What you'll be doing: As a SeniorData Scientist in our Defence business unit you will lead projectteams that deliver bespoke algorithms to our clients across thedefence and national security sector. You will be responsible forconceiving the data science approach, for designing the associatedsoftware architecture, and for ensuring that best practices arefollowed throughout. You will help our excellent commercial teambuild strong relationships with clients, shaping the direction ofboth current and future projects. Particularly in the initialstages of commercial engagements, you will guide the process ofdefining the scope of projects to come with an emphasis ontechnical feasibility. We consider this work as fundamental towardsensuring that Faculty can continue to deliver high-quality softwarewithin the allocated timeframes. You will play an important role inthe development of others at Faculty by acting as the designatedmentor of a small number of data scientists, and by supporting theprofessional growth of data scientists on the project team. Thelatter includes giving targeted support where needed, and providingstep-up opportunities where helpful. Faculty has earned widerecognition as a leader in practical data science. You willactively contribute to the growth of this reputation by deliveringcourses to high-value clients, by talking at major conferences, byparticipating in external roundtables, or by contributing tolarge-scale open-source projects. You will also have theopportunity to teach on the fellowship about topics that range frombasic statistics to reinforcement learning, and to mentor thefellows through their 6-week project. Thanks to Faculty platform,you will have access to powerful computational resources, and youwill enjoy the comforts of fast configuration, secure collaborationand easy deployment. Because your work in data science will informthe development of our AI products, you will often collaborate withsoftware engineers and designers from our dedicated product team.Who we're looking for: - Senior experience in either a professionaldata science position or a quantitative academic field - Strongprogramming skills as evidenced by earlier work in data science orsoftware engineering. Although your programming language of choice(e.g. R, MATLAB or C) is not important, we do require the abilityto become a fluent Python programmer in a short timeframe - Anexcellent command of the basic libraries for data science (e.g.NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learningframework (e.g. TensorFlow, PyTorch, Caffe) - A high level ofmathematical competence and proficiency in statistics - A solidgrasp of essentially all of the standard data science techniques,for example, supervised/unsupervised machine learning, model crossvalidation, Bayesian inference, time-series analysis, simple NLP,effective SQL database querying, or using/writing simple APIs formodels. We regard the ability to develop new algorithms when aninnovative solution is needed as a fundamental skill - A leadershipmindset focussed on growing the technical capabilities of the team;a caring attitude towards the personal and professional developmentof other data scientists; enthusiasm for nurturing a collaborativeand dynamic culture - An appreciation for the scientific method asapplied to the commercial world; a talent for converting businessproblems into a mathematical framework; resourcefulness inovercoming difficulties through creativity and commitment; arigorous mindset in evaluating the performance and impact of modelsupon deployment - Some commercial experience, particularly if thisinvolved client-facing work or project management; eagerness towork alongside our clients; business awareness and an ability togauge the commercial value of projects; outstanding written andverbal communication skills; persuasiveness when presenting to alarge or important audience - Experience leading a team of datascientists (to deliver innovative work according to a stricttimeline) as well as experience in composing a project plan, inassessing its technical feasibility, and in estimating the time todelivery What we can offer you: The Faculty team is diverse anddistinctive, and we all come from different personal, professionaland organisational backgrounds. We all have one thing in common: weare driven by a deep intellectual curiosity that powers us forwardeach day. Faculty is the professional challenge of a lifetime.You’ll be surrounded by an impressive group of brilliant mindsworking to achieve our collective goals. Our consultants, productdevelopers, business development specialists, operationsprofessionals and more all bring something unique to Faculty, andyou’ll learn something new from everyone you meet.#J-18808-Ljbffr