Data Scientist
Quick Summary
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then,
Our Retail and Consumer Business Unit is committed to leveraging AI to transform how retail and consumer businesses operate, compete, and serve their customers.
From optimising supply chains and pricing strategies, to personalising customer experiences, through to forecasting demand with greater precision — we know that AI offers opportunities to drive improvements at every level of the retail and consumer value chain, and we are proud to lead on some of the most impactful work happening in the sector.
About the Role
~1 min readAs 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.
Responsibilities
~1 min read- →
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.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- June 5, 2026
- First seen
- June 6, 2026
- Last seen
- August 4, 2026
Posting Health
- Days active
- 27
- Repost count
- 1
- Trust Level
- 14%
- Scored at
- July 3, 2026
Signal breakdown
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