Junior Manager, Econometrician
London - hybrid 3x a week in office
Up to £46,000
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.