Mapping the end-to-end data science approach and designing associated software architecture for projects
Driving the technical scoping and feasibility assessment of new projects
Building strong client relationships by acting as a technical advisor and shaping the direction of current and future engagements
Delivering bespoke algorithms and scalable software solutions that adhere to best practices for high-stakes decision-making
Setting the technical bar for the project team, ensuring the highest standards of code, rigour, and delivery quality (IC leadership)
Contributing to Faculty's thought leadership and reputation through teaching, public speaking, or open-source projects

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
Exceptional communicator, adept at translating complex technical solutions into persuasive, actionable insights for senior and non-technical audiences
Contribute to team success by project planning, assessing technical feasibility, estimating delivery timelines, and achieving measurable outcomes

Data Scientist

Key skills