Econometrician

This is an exciting opportunity to join a growing data science function at a pivotal stage of its development. You will play a key role in delivering Marketing Mix Modelling (MMM) projects for well-known clients, combining hands-on technical work with exposure to strategic decision-making. With strong backing from leadership and active hiring across the team, this role offers genuine scope to shape how data science is delivered in a high-impact, client-facing environment.

The Company: They are a global media and marketing analytics business focused on understanding what truly drives profit. Founded by a technically minded leadership team, they have scaled internationally and built a strong reputation for combining experimentation, proprietary tools, and data science to inform marketing performance. They are now investing heavily in building out their UK data science capability, bringing work in-house and creating a collaborative, high-performing team. This growth phase offers the opportunity to contribute to both client delivery and the evolution of the function.

The Role:

• Deliver end-to-end Marketing Mix Modelling projects using frameworks such as Meridian, Robyn, or PyMC.
• Own key stages of the modelling process, including data preparation, model development, validation, and scenario analysis.
• Interpret model outputs and translate them into clear, actionable insights for clients.
• Work directly with stakeholders to support strategy, media planning, and performance optimisation.
• Contribute to multiple live projects simultaneously, balancing hands-on technical work with client interaction.
• Support the ongoing development of data science best practices and modelling approaches.

Your Skills and Experience:

• Strong commercial experience in Marketing Mix Modelling - experience building the models from scratch.
• Proficiency in Python and experience working with open-source MMM frameworks such as Meridian, Robyn, or PyMC.
• Solid understanding of statistical modelling techniques, including Bayesian approaches.
• Experience delivering analytical work in a client-facing or stakeholder-driven environment.
• Ability to assess model quality and clearly communicate findings to non-technical audiences.
• Exposure to marketing analytics, attribution, or media effectiveness projects is highly beneficial.

What They Offer: Opportunity to join a rapidly growing data science team with strong leadership support. Clear progression path as the function expands. Exposure to high-impact client work across a range of industries.

How to Apply: If you are interested in applying your data science expertise to solve real-world marketing challenges in a growing team, please get in touch to learn more.