faculty
faculty2mo ago
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Data Scientist

Londonfull-timemid
Data ScientistData
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Quick Summary

Overview

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then,

Technical Tools
Data ScientistData

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 read

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.

Responsibilities

~1 min read
  • Mapping the end-to-end data science approach and designing the 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

  • 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.

  1. Talent Team Screen (30 minutes)

  2. Take Home Technical Assessment

  3. Technical Interview (90 minutes)

  4. 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 read
Unlimited Annual Leave Policy
Private healthcare and dental
Enhanced parental leave
Family-Friendly Flexibility & Flexible working
Sanctus Coaching
Hybrid Working

Location & Eligibility

Where is the job
Uk - London
On-site at the office
Who can apply
Same as job location

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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facultyData Scientist