Lead Econometrician

Lead Econometrician

London - hybrid 3x in office

Up to £80,000

This is a high-impact leadership role offering the opportunity to build and scale a data science function in the UK. You will take ownership of Marketing Mix Modelling delivery while shaping the long-term vision of the team, combining hands-on technical work with senior stakeholder engagement. With strong investment in data capabilities, this role offers real influence over both client outcomes and internal growth.

The Company

They are an established global media and analytics business focused on understanding the true drivers of marketing performance and profitability. Built with a strong technical foundation, they bring together experimentation, proprietary tools, and data science to inform strategic marketing decisions. As part of a wider transformation, they are investing in building a UK-based data science team to bring capability closer to clients. This creates an opportunity to join at an early stage and play a central role in shaping how the function evolves.

The Role

• Lead the end-to-end delivery of Marketing Mix Modelling using frameworks such as Meridian, Robyn, or PyMC
• Oversee all stages of model development including data preparation, calibration, validation, and scenario planning
• Translate complex statistical outputs into clear, commercially actionable insights for senior stakeholders
• Act as the senior point of contact for clients, supporting both delivery and strategic discussions
• Balance hands-on technical work with leadership responsibility, with scope to evolve as the team grows
• Build and develop a high-performing data science team, setting standards and supporting capability growth
• Contribute to business development, including supporting pitches and shaping the data science proposition

Your Skills and Experience

• Strong commercial experience delivering Marketing Mix Modelling projects end-to-end
• Proficiency in Python with experience using open-source MMM frameworks such as Meridian, Robyn, or PyMC
• Solid grounding in statistical modelling, including Bayesian approaches and media attribution
• Proven experience working in a client-facing environment, delivering insights to senior stakeholders
• Experience leading or mentoring data scientists while remaining hands-on technically
• Ability to assess model quality and translate outputs into clear business recommendations

What They Offer

• Opportunity to build and shape a growing data science function
• High level of ownership and visibility across the business
• Clear progression as the team and capability expand

How to Apply

If you are interested in leading impactful data science work and building a function from the ground up, please get in touch to learn more.