Data Science Engineer: MMM & Econometrics (Hybrid)

Data Science Engineer: MMM & Econometrics (Hybrid)

Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
Datatech Analytics

At a Glance

  • Tasks: Bridge data science and engineering to enhance marketing effectiveness with MMM and econometrics.
  • Company: Datatech Analytics, a leading firm in Central London.
  • Benefits: Hybrid work model, competitive salary, and opportunities for mentorship.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Make a real impact by building scalable systems and tools for data-driven insights.
  • Qualifications: Expertise in Python, ML, econometrics, and strong SQL skills required.

The predicted salary is between 50000 - 70000 Β£ per year.

Datatech Analytics in Central London is hiring a Data Science Engineer to bridge data science and engineering for Marketing Effectiveness.

You will work on MMM and econometrics, building scalable, automated production systems and in-house tools to strengthen models and insights.

The role requires Python, ML, econometrics expertise, and strong SQL.

You will collaborate with analysts and stakeholders, document processes, and mentor peers in a hybrid London setting.

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Datatech Analytics

Contact Details:

Datatech Analytics Recruitment Team

We think you need these skills to ace Data Science Engineer: MMM & Econometrics (Hybrid)

Python
Problem-Solving Skills
Communication Skills
SQL
Data Engineering
Automation
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