Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Science Manager

Harnham
City of London
1 week ago
Create job alert

Data Science Manager – Product Analytics (Marketplace Experience)

London – Hybrid (1 day per week in office)

Up to £95,000


About the Role

Our client is a global marketplace redefining how people buy, sell, and experience fashion. With a huge community of users and backed by a major e-commerce group, they’re on a mission to make fashion more sustainable and inclusive.


They’re now looking for a hands-on Data Science Manager to lead a team of four within the Marketplace Experience function. You’ll provide analytical leadership across Product, Payments, Trust & Safety, and Customer Experience, helping the business identify opportunities for optimisation and growth.


Key Responsibilities

  • Lead and develop a team of four Data Scientists, providing technical direction and mentorship.
  • Partner with senior stakeholders, including Product and C-level teams, to drive data-led decision making.
  • Oversee experimentation, analytics, and model development across key product areas.
  • Step in hands-on when needed during busy periods to support the team with analysis or modelling.
  • Promote best practices in data science and contribute to knowledge sharing across the wider Insights function.
  • Collaborate closely with Strategy and Finance teams to provide actionable commercial insights.


What We’re Looking For

  • Proven experience leading or managing a data science or analytics team.
  • Strong technical foundation in SQL, Python, and machine learning principles.
  • Excellent communication and stakeholder management skills – comfortable operating with senior leadership.
  • Experience in a product-led, digital or marketplace environment is highly desirable.
  • A commercial mindset and ability to translate insights into strategic recommendations.
  • Collaborative and pragmatic – able to balance hands-on work with leadership responsibilities.


Interview Process

  1. Introductory call.
  2. Technical interview and case study discussion.
  3. Final interview with the Head of Insights (culture and leadership focus).


Please note - this role cannot offer sponsorship

Related Jobs

View all jobs

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.