Marketing Data Scientist – Global Lifestyle Brand

About the role

We are looking for a Marketing Data Scientist to join a global lifestyle brand and help shape its marketing effectiveness strategy. You will expand and optimise data‑science models across markets, delivering insights that guide smarter media investment and improve performance across channels.

Key responsibilities

• Develop and maintain marketing models to measure channel performance.
• Analyse multi‑channel marketing data to identify performance drivers and ROI.
• Support model rollout in new countries and monitor ongoing performance.
• Collaborate with marketing, analytics, and data‑engineering teams to ensure accurate data inputs.
• Continuously refine modelling approaches and explore new methodologies.
• Translate complex modelling outputs into clear, actionable insights.
• Present findings to senior stakeholders through compelling storytelling.
• Build dashboards and visualisations to monitor marketing performance.
• Contribute to optimising media planning using MMM outputs.

Required profile

• Experience in econometric modelling and advanced analytics.
• Strong Python and SQL skills.
• Familiarity with MMM and MTA tools such as PyMC, Robyn, or Meridian.
• Understanding of marketing channels, metrics, and retail/luxury environments.
• Experience with cloud platforms (AWS, GCP, Snowflake).
• Ability to work cross‑functionally and communicate complex concepts clearly.
• Knowledge of incrementality testing (e.g., GeoLift) is a plus.

Required skills

• Python
• SQL
• Econometric modelling
• MMM (Marketing Mix Modelling)
• MTA (Multi‑Touch Attribution) tools – PyMC, Robyn, Meridian
• AWS
• GCP
• Snowflake
• GeoLift (incrementality testing)

What we offer

• 12‑month fixed‑term contract.
• Hybrid work model – 2‑3 days per week in London.
• Competitive salary range of £70,000‑£80,000 per annum.