Data Scientist: Marketing Effectiveness & MMM—Hybrid London

Ekimetrics; Greater London; Hybrid; GBP 40,000 - 55,000; Full time

Benefits offered by this job

Private healthcare

Life insurance

Pension scheme

Flexible hybrid working

25 days annual leave + bank holidays

Job summary

Ekimetrics in London is seeking a Data Scientist specializing in Marketing Effectiveness (MMM) to work on high-impact analytics for international clients across Auto, Beauty, Retail, and Financial Services. You will gain hands-on experience in marketing analytics, collaborating with senior analysts and managers to translate data into actionable recommendations.

The role combines modelling, data wrangling in Python/R/SQL, and dashboarding to communicate insights.

Qualifications

• Experience with Marketing Mix Modelling (MMM) and marketing effectiveness methodologies.
• Proficiency with Python, R, SQL and data wrangling.
• Bachelor’s or Master’s in a quantitative field.
• Experience with visualization tools such as Power BI and Tableau.

Responsibilities

• Contribute to client projects across MMM/data science offerings.
• Clean and prepare data from multiple sources using Python, R, SQL, Excel, or other tools.
• Conduct analyses on consumer behaviour, market trends, and campaign performance.
• Build, maintain, and apply statistical and predictive models (regression, econometrics, Bayesian methods, MMM).
• Develop dashboards, charts, and visualizations to communicate insights to clients and internal teams.
• Collaborate with teams to produce deliverables with accuracy and timely delivery.
• Present findings in client meetings and translate outputs into actionable recommendations.

Skills

MMM

Python

R

SQL

Databricks

Azure

Power BI

Tableau

Excel

PowerPoint

Education

BSc / MSc in a quantitative field

Job description

Ekimetrics in London is seeking a Data Scientist specializing in Marketing Effectiveness (MMM) to work on high-impact analytics for international clients across Auto, Beauty, Retail, and Financial Services. You will gain hands-on experience in marketing analytics, collaborating with senior analysts and managers to translate data into actionable recommendations.

The role combines modelling, data wrangling in Python/R/SQL, and dashboarding to communicate insights.