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

Apply Now

Senior Data Scientist - Customer/Marketing

ASOS.com
City of London
3 days ago
Create job alert
Senior Data Scientist - Customer/Marketing

Location: London, England, United Kingdom


Company Overview

ASOS is an online retailer for fashion lovers worldwide. We empower customers to be confident and offer a creative platform that impacts millions.


Job Description

We are looking for a Senior Data Scientist with expertise in causal inference and statistics to join our cross‑functional Marketing Effectiveness team. The team helps ASOS deliver the best shopping experience by employing incrementality testing and media mix modelling to understand, measure, and optimise marketing spend.


Responsibilities

  • Drive the technical development and improvement of our geo‑experimentation product used to model incremental uplift of ASOS’ digital spend.
  • Develop and enhance our media mix modelling capability that supports long‑term media planning.
  • Keep up‑to‑date with state‑of‑the‑art research, participate in reading groups, and publish novel prototypes at top conferences.
  • Continuously develop and improve code and technology, and contribute to brand‑new features for our global customer base.
  • Mentor and coach junior team members, supporting their technical progress.

Qualifications

  • Experienced Applied Scientist with hands‑on experience using causal inference techniques.
  • Experience developing geo‑experimentation frameworks or MMM models that measure digital media spend impact.
  • Knowledge or experience in retail, marketing, or ecommerce; thrives in cross‑functional platform environments.
  • Comfortable working in Python, familiar with deep learning frameworks such as TensorFlow/Keras or PyTorch, and enjoys transforming prototypes into products.

Benefits

  • Employee discount
  • ASOS Develops personal development opportunities
  • Employee sample sales
  • Access to LinkedIn learning materials
  • 25 days paid annual leave plus an extra celebration day
  • Discretionary bonus scheme
  • Private medical care scheme
  • Flexible benefits allowance (cash or other benefits)

Seniority Level

Mid‑Senior level


Employment Type

Full‑time


Job Function

Information Technology


Industries

Retail


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Earth Observation - Energy Aspects

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

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.