Data Scientist

As a Data Scientist, you will work closely with clients and cross functional teams to define project scope, ensure technical feasibility, and drive delivery excellence.

You’ll design and deliver bespoke data science solutions, shaping the technical direction of high-impact projects and solidifying our reputation as a leader in practical, measurable AI.

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  Mapping the end-to-end data science approach and designing the associated software architecture for projects

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  Driving the technical scoping and feasibility assessment of new projects

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  Building strong client relationships by acting as a technical advisor and shaping the direction of current and future engagements

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  Delivering bespoke algorithms and scalable software solutions that adhere to best practices for high-stakes decision-making

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  Setting the technical bar for the project team, ensuring the highest standards of code, rigour, and delivery quality (IC leadership)

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  Contributing to Faculty's thought leadership and reputation through teaching, public speaking, or open-source projects

• You have proven experience in a professional data science or quantitative academic role, underpinned by high mathematical and statistical competence.

• You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch).

• You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation) and the ability to innovate new algorithms.

• You apply a rigorous scientific and entrepreneurial mindset, translating complex business problems into a mathematical framework and measuring model impact upon deployment.

• You are an exceptional communicator, adept at translating complex technical solutions into persuasive, actionable insights for senior and non-technical audiences.

• You contribute to team success by project planning, assessing technical feasibility, estimating delivery timelines, and achieving measurable outcomes.

Talent Team Screen (30 minutes)

Take Home Technical Assessment

Technical Interview (90 minutes)

Commercial Interview (60 minutes)

We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.