MMM Data Scientist - Retail and Luxury

Freshminds Interim; Greater London; Hybrid; GBP 60,000 - 75,000; Full time

Job summary

A global lifestyle brand is seeking a MMM Data Scientist to develop and implement its Marketing Mix Modelling framework. This hybrid position entails collaborating with various teams to enhance marketing effectiveness through data analysis in Central London. Candidates should have proven econometric modelling experience along with proficiency in relevant technical tools. A salary range of £60k–75k is offered for this 12-month fixed-term role.

Qualifications

• Proven experience in econometric modelling and data analysis.
• Strong understanding of marketing strategy and media planning.
• Proficiency in Python, SQL, Git, and cloud platforms.

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.

Skills

Econometric modelling

Data analysis

Marketing strategy

Media planning

Python

SQL

Git

AWS

GCP

Snowflake

MMM tools

Dashboarding

Causal inference

Incrementality testing

Job description

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 analysis
• Strong understanding of marketing strategy and media planning
• Proficiency in Python, SQL, Git, and cloud platforms (AWS, GCP, Snowflake)
• Experience with MMM tools (Robyn, PYMC, Meridian) and budget optimisers
• Familiarity with dashboarding, causal inference, and incrementality testing

Details

• Salary: £60-75k per annum
• Duration: 12-month fixed-term contract
• Location: Hybrid, with 2-3 days/week in Central London office
• Start date: ASAP