Data Scientist designing bespoke data science solutions at Faculty, working on impactful AI projects for public services. Collaborating closely with clients to drive delivery excellence through innovative techniques and strong relationships.
Responsibilities
Work closely with clients and cross functional teams to define project scope
Ensure technical feasibility and drive delivery excellence
Design and deliver bespoke data science solutions
Shape the technical direction of high-impact projects
Solidify Faculty's reputation as a leader in practical, measurable AI
Map the end-to-end data science approach and design the associated software architecture for projects
Drive the technical scoping and feasibility assessment of new projects
Build strong client relationships by acting as a technical advisor
Deliver bespoke algorithms and scalable software solutions
Set the technical bar for the project team
Contribute to Faculty's thought leadership and reputation through teaching, public speaking, or open-source projects
Requirements
Proven experience in a professional data science or quantitative academic role
Strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch)
Solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation)
Ability to innovate new algorithms
Rigorous scientific and entrepreneurial mindset
Exceptional communicator, adept at translating complex technical solutions into persuasive insights for senior and non-technical audiences
Contributions to team success by project planning, assessing technical feasibility, estimating delivery timelines, and achieving measurable outcomes
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