Data Scientist

About FacultyAt 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 youll 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.This will be a fixed-term contract that should run until March 29th 2026. We operate a hybrid way of working meaning that youll split your time between Facultys Old Street office and working from home depending on the needs of the project.Why nowWere in a period of significant growth expanding our capacity to serve a diverse range of customers and apply AI to real-world problems with tangible impact. To meet this demand and maintain our high standards of delivery we need skilled Data Scientists to join us for a temporary period and own end-to-end project delivery build strong customer relationships and help us scale our business. What youll be doing:As a Data Scientist in our Applied AI team unit you will be part of project teams that deliver bespoke algorithms to our clients across a range of different sectors. 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.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 were looking for: Proven experience in either a professional data science position or a quantitative academic fieldStrong 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 timeframeAn 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 statisticsA 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 skillAn 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 deploymentSome 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 audienceExperience 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 deliveryWhat 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. Youll 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 youll learn something new from everyone you meet. Key Skills Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills Employment Type : Temp Experience: years Vacancy: 1