Group Leader - Data Science

Econometric Modelling Lead (Marketing Mix Modelling) London (Hybrid) | Data Science & Analytics | Permanent, Full-Time
£45,000-£55,000

Are you ready to take the lead in cutting-edge marketing measurement? Join a highly respected and award-winning analytics team as a Lead Econometrician .

We're seeking a talented individual with at least 2 years of hands-on experience in marketing mix modelling who’s ready to step into a leadership role—owning client relationships, leading delivery, and pushing innovation in media measurement.

This is a rare opportunity to be part of a collaborative and data-driven environment where you’ll work alongside talented analysts, data scientists, and engineers across a global network.

What You'll Do:
Lead delivery of MMM projects from briefing to presentation, ensuring actionable insights.
Confidently present complex analysis to clients and internal stakeholders.
Use your coding knowledge to streamline processes and develop new modelling solutions.
Manage stakeholder relationships and act as the primary point of contact for key clients.
Collaborate with internal Centres of Excellence to deliver best-in-class econometrics.
Play a role in shaping new data science products that drive agency innovation.
Mentor junior analysts and contribute to the team’s ongoing learning and development.

What You Bring:
~2+ years of experience in marketing mix/econometric modelling.
~ Strong grasp of statistical modelling theory and hands-on delivery.
~ Confident communicator and compelling storyteller with data.
~ Skilled in Python, R, or SQL for data analysis and modelling (or keen to develop further).
~ Experience with scenario planning and transforming complex data into client-ready outputs.
~ Familiar with working in or alongside analytics or media environments.


Bonus Points For:
Experience working with large datasets or cloud platforms (e.g. GCP/Big Query).
Exposure to advanced analytics approaches such as Bayesian or non-regression models.
Familiarity with marketing measurement tools or platforms (e.g. Robyn, Meridian).
Data viz skills in Power BI, Tableau, or Data Studio.
A background in econometrics, statistics, or a related quantitative field.