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

Apply Now

MMM Data Scientist - Retail and Luxury

FreshMinds Talent
London
3 days ago
Create job alert

A global lifestyle brand is hiring a MMM Data Scientist to accelerate the rollout of its first-ever Marketing Mix Modelling framework. The role sits within the Consumer Intelligence and Experience (CIX) team, which leads market research, segmentation, and consumer activation across all brands and channels. You'll help implement MMM in new markets, monitor performance, and deliver insights to senior stakeholders.

Responsibilities

Build and maintain MMM and MTA models to measure marketing effectiveness Analyse multi-channel datasets to identify ROI and performance drivers Collaborate with marketing, analytics, and engineering teams on model inputs Communicate insights through visualisations and strategic storytelling Test and improve modelling approaches using new data and techniques


Requirements


Proven experience in econometric modelling and data analysisStrong understanding of marketing strategy and media planningProficiency in Python, SQL, Git, and cloud platforms (AWS, GCP, Snowflake)Experience with MMM tools (Robyn, PYMC, Meridian) and budget optimisersFamiliarity with dashboarding, causal inference, and incrementality testing

Related Jobs

View all jobs

MMM Data Scientist -, Bayesian, Python, Pymc

MMM Data Scientist, Bayesian, Python, Pymc

Data Scientist, Marketing Mix Modeling (MMM)

Senior Data Scientist - Marketing Data

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition

Senior Data Scientist - Consumer Behaviour - exciting scale up proposition

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.