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Senior Data Scientist

facultyLondonConsumer & Retail
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior
Posted
9 Oct 2026
Status
Open · checked 7d ago

About this role

Based in London, this Senior Data Scientist position at Faculty involves leading artificial intelligence initiatives tailored for the retail and consumer sector. The role suits an experienced quantitative professional who wants to design production-grade systems and mentor team members.

Role Overview

Faculty seeks a Senior Data Scientist to join the Retail and Consumer team in London. This position focuses on driving high-impact artificial intelligence projects, guiding technical strategies, and building tailored algorithmic solutions for prominent retail brands. The professional filling this role will oversee project delivery, collaborate with engineering and commercial departments, and champion responsible technology practices.

Key Responsibilities

Direct project teams in creating custom algorithms and high-stakes artificial intelligence solutions for retail clients.
Translate intricate business challenges into feasible data science strategies and comprehensive end-to-end plans.
Create software architectures for data science systems in partnership with engineering peers.
Collaborate with commercial divisions to build client relationships and define technical project scopes.
Manage the technical aspects of client engagements and support business development goals.
Estimate timelines and guide project teams to meet strict delivery schedules.
Coach and mentor fellow data scientists to support their professional development.
Maintain high validation standards and enforce responsible artificial intelligence practices throughout the project lifecycle.
Participate in company hiring processes.

Requirements

Senior-level background in a professional data science role or a quantitative academic discipline.
Broad understanding of advanced machine learning and artificial intelligence methodologies.
Ability to design and validate models that perform reliably in real-world scenarios and edge cases.
Skill in assessing technical feasibility and dividing complex workstreams into distinct delivery milestones.
Proficiency in Python alongside relevant frameworks for building production-grade infrastructure.
Strong communication abilities to explain quantitative findings to client stakeholders.
Commitment to transparency, accountability, and responsible technology use.

Skills and Tools

Python
Machine Learning frameworks
Production-grade infrastructure and software architecture
Agentic AI systems

About the Company

Founded in 2014, Faculty focuses on deploying responsible artificial intelligence across industries such as government, finance, retail, energy, life sciences, and defence. The organization values diverse backgrounds, encourages intellectual curiosity, and aims to build positive, measurable impacts through technology.

How to Apply

Interested candidates should submit their application directly on the official Faculty careers page.

Skills and tech stack

Questions candidates ask

Where is this job located?

This position is based in London.

What industry does this specific team focus on?

The Retail and Consumer team builds artificial intelligence solutions that re-engineer decision-making processes for retail and consumer businesses.

What programming language and system types are required?

Candidates must have mastery of Python and relevant frameworks to architect production-grade infrastructure for sophisticated models and agentic AI systems.

Are part-time hours considered for this role?

Yes, the company is open to conversations about part-time hours.

How should candidates apply?

Candidates should apply through the official company careers page.

Ready to apply?

The application is on the official faculty careers page.

Apply on company site