Junior Data Science Manager - Econometrics/MMM
Why This Role Stands Out
This hybrid role offers a fantastic opportunity to grow your econometrics and MMM skills by leading impactful projects for global brands, with a competitive salary of up to £46,000. You'll thrive here if you have solid Python and MMM experience and enjoy translating complex data into actionable client insights. Apply now to join a dynamic team and advance your career in marketing analytics!
Quick Overview
Job Description
London | Hybrid Working (3 Days Office / 2 Days WFH)Up to £46,000 + Benefits
A global marketing and media analytics business is looking for a Junior Manager, Data Science to join a growing UK-based data team. This is an opportunity to work with leading brands, delivering advanced Marketing Mix Modelling (MMM) projects that help clients understand what really drives business performance.
The RoleYou'll play a key role in building and delivering MMM solutions for clients, taking ownership of projects from data preparation through to model deployment and insights delivery.
Responsibilities include:
- Building and implementing Marketing Mix Models using open-source frameworks
- Working with tools such as Google Meridian, Robyn and PyMC
- Delivering end-to-end MMM projects for clients
- Evaluating model quality and translating outputs into actionable recommendations
- Partnering with stakeholders and clients to communicate findings and strategy
- Supporting a mixture of hands-on technical work and client-facing delivery
- Around 3+ years' experience in Data Science, Analytics or Marketing Science
- Strong Python skills
- Practical experience with MMM methodologies and statistical modelling
- Familiarity with open-source MMM frameworks (Meridian, Robyn, PyMC or similar)
- Comfortable working directly with clients and presenting insights
- Agency or marketing analytics experience is advantageous
- Salary up to £46,000
- Hybrid working (3 days per week in the London office)
- Plus benefits
If you're looking to develop your MMM expertise within a high-growth, data-driven organisation and work on a variety of client projects, we'd love to hear from you.
Find out more and apply via the link below!
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