Senior Data Scientist — Marketing Effectiveness & MMM

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

Benefits offered by this job

Salary bonus 10%

Private healthcare

Life insurance

Group pension

20 days remote work

25 days annual leave

Job summary

Ekimetrics is a global leader in Marketing Effectiveness and AI‑powered solutions. The Senior Consultant/Analyst role focuses on delivering high‑impact MMM programmes for international clients, leading teams, and translating insights into actionable business recommendations.

You will work across industries, manage client relationships, and contribute to growth initiatives while leveraging Python, R, SQL, and cloud platforms.

Qualifications

• 3–4 years’ experience in marketing effectiveness/MMM and analytics/data science.
• Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field.
• Strong proficiency in Python, R, SQL, or similar tools.
• Experience with Databricks, Azure, or other cloud/data platforms is a plus.
• Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques.

Responsibilities

• Lead end‑to‑end MMM programmes for international clients across industries.
• Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse data.
• Build dashboards and visualisation tools to communicate insights.
• Translate analytics into clear, business‑oriented recommendations for senior stakeholders.

Skills

MMM experience

Marketing analytics

Python

SQL

R

Education

Statistics/Econometrics degree

Tools

Databricks

Azure

Job description

Ekimetrics is a global leader in Marketing Effectiveness and AI‑powered solutions. The Senior Consultant/Analyst role focuses on delivering high‑impact MMM programmes for international clients, leading teams, and translating insights into actionable business recommendations.

You will work across industries, manage client relationships, and contribute to growth initiatives while leveraging Python, R, SQL, and cloud platforms.