Lead Data Scientist

Location: London, England
Job Type: Durée indéterminée
Specialisation: Information Technology
Salary: pension
Reference: BBBH1941_1633540068
Contact: Bruce Simpson
Email: email Bruce
As a Lead Data Scientist you will lead project teams that deliver bespoke algorithms to our clients. 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 directly contribute to the code base of the project with a specific focus on the components that are difficult or require experience to implement.

Who we're looking for:

*Senior experience in a professional data science position
*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, both to deliver innovative work and
as their developmental manager
*Experience in composing a project plan, in assessing its technical feasibility, and
in estimating the time to delivery