Econometrician – Marketing Mix Modelling (MMM)

Location: London (hybrid)

Salary: £40,000 - £55,000 + Benefits

Join a global leader in media investment analytics and shape the future of data-driven marketing.

Peaple Talent is proud to be partnering with a world-renowned agency that empowers the biggest brands with evidence-based insights to supercharge their media investment. Through the smart application of data, analytics, and independent thinking, they help businesses make better decisions and drive meaningful results.

As part of exciting expansion plans, we’re looking for multiple Econometricians with expertise in Econometrics and Marketing Mix Modelling (MMM) to join their high-performing team.

What You’ll Be Doing:

As a Econometrician, you'll be at the forefront of delivering advanced MMM and econometric modelling projects. From initial data exploration to presenting actionable insight, you’ll play a key role in helping clients get the most from their marketing spend.

• Transform complex data and model outputs into actionable insights that create real value
• Deliver high-quality MMM and analytics projects across major client accounts
• Build strong, consultative relationships with internal teams and external clients

What We’re Looking For:

You’re a commercially savvy analyst with a passion for turning data into strategic action. You’ve worked hands-on with MMM projects and are comfortable navigating marketing/media datasets to uncover trends and efficiencies.

• Solid coding experience in SQL, R or Python
• Strong understanding of marketing, media, and promotional strategies
• Demonstrable hands-on experience in Marketing Mix Modelling
• A confident communicator and collaborative team player
• Analytical thinker with the ability to translate data into business impact

What’s On Offer:

Competitive salary: £40,000 – £55,000

25 days holiday + bank holidays

Flexible hybrid working (2-3 days/week in office)

Healthcare cash plan & Life Assurance (3x salary)

Training and development (internal & external support)