Remote Senior Data Scientist

• Lead project teams delivering bespoke algorithms to our clients across the defence and national security sector
• Conceive the data science approach and design the associated software architecture
• Ensure best practices are followed throughout delivery
• Help our commercial team build strong relationships with clients and shape the direction of current and future projects
• Guide early-stage commercial engagements by defining project scope with an emphasis on technical feasibility
• Support our ability to deliver high-quality software within allocated timeframes
• Mentor a small number of data scientists and support the professional growth of project team members
• Provide targeted support and step-up opportunities where helpful
• Contribute to our reputation in practical data science through courses, conference talks, roundtables, and open-source projects
• Teach on our fellowship across topics from basic statistics to reinforcement learning
• Mentor fellows through their 6-week project
• Collaborate with software engineers and designers from our product team to inform the development of our AI products

Technologies:

• AI
• Support
• Machine Learning
• PyTorch
• Python
• REST
• SQL
• Security
• TensorFlow
• numpy
• pandas
• Matlab

More:

We are Faculty, and we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we support 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 major challenges in applied AI. We operate a hybrid way of working, splitting time between client locations, our Old Street office, and home depending on project needs. For this role, you can expect to be client-side for up to three days per week at times, with the rest of your time spent working from home or our Old Street office. We offer a diverse, distinctive team environment driven by deep intellectual curiosity, and you will be surrounded by brilliant minds across consulting, product, business development, operations, and more.

• Senior experience in either a professional data science position or a quantitative academic field
• Strong programming skills demonstrated through previous work in data science or software engineering, with the ability to become fluent in Python quickly
• Excellent command of core data science libraries such as NumPy, Pandas, and Scikit-Learn, plus familiarity with a deep-learning framework such as TensorFlow, PyTorch, or Caffe
• High level of mathematical competence and proficiency in statistics
• Solid grasp of standard data science techniques, including supervised and unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, and using or writing simple APIs for models
• Ability to develop new algorithms when an innovative solution is needed
• Leadership mindset focused on growing the technical capabilities of the team
• Caring attitude toward the personal and professional development of other data scientists, with enthusiasm for nurturing a collaborative and dynamic culture
• Appreciation for the scientific method as applied to the commercial world
• Ability to convert business problems into a mathematical framework
• Resourcefulness in overcoming difficulties through creativity and commitment
• Rigorous mindset in evaluating the performance and impact of models upon deployment
• Commercial experience, particularly in client-facing work or project management
• Business awareness and 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
• Experience composing project plans, assessing technical feasibility, and estimating time to delivery