Data Scientist: Marketing Effectiveness & MMM—Hybrid London

Data Scientist: Marketing Effectiveness & MMM—Hybrid London

Full-Time 60000 - 75000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse marketing data and create impactful insights for top international brands.
  • Company: Ekimetrics, a leading analytics firm in London with a vibrant culture.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborate with industry experts and enhance your analytical skills.
  • Why this job: Join a dynamic team and shape marketing strategies for global clients.
  • Qualifications: Experience in Python, R, SQL, and a passion for data-driven decision making.

The predicted salary is between 60000 - 75000 £ per year.

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.

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Data Scientist: Marketing Effectiveness & MMM—Hybrid London employer: Ekimetrics

Ekimetrics is an excellent employer for aspiring marketers, offering a vibrant work culture in the heart of London. Interns benefit from hands-on experience in B2B marketing, with opportunities for mentorship and professional growth, all while being part of a collaborative team that values innovation and creativity. This internship not only equips you with essential skills but also opens doors for potential permanent positions based on your contributions.

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Contact Details:

Ekimetrics Recruitment Team

We think you need these skills to ace Data Scientist: Marketing Effectiveness & MMM—Hybrid London

Communication Skills
Python
SQL
Problem-Solving Skills
Automation
Attention to Detail
Data Engineering