Econometric Modelling Lead

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.