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- Tasks: Lead advanced marketing modelling projects and mentor junior analysts.
- Company: Join a world-leading marketing consultancy blending creativity with data science.
- Benefits: Flexible hybrid work, generous benefits, and exposure to high-profile clients.
- Why this job: Be at the forefront of marketing analytics and drive real-world impact.
- Qualifications: Experience in Marketing Mix Modelling and strong technical skills in R.
- Other info: Collaborative environment with excellent growth opportunities and access to top-tier resources.
The predicted salary is between 48000 - 72000 £ per year.
Project Lead – Marketing Mix Modelling (MMM)
Location: London (Hybrid – 2 days in office)
Type: Permanent
Sector: Global Marketing Consultancy
Join a world-leading marketing consultancy that blends creative transformation with data science to drive measurable results for some of the most recognised brands globally. We’ve been exclusively instructed on this Project Lead (Modelling) opportunity within their high-impact Data Science & Modelling team – the engine behind millions in media spend analysis and marketing effectiveness.
Why This Role?
- Be at the cutting edge of marketing analytics, working on advanced MMM and econometric projects that influence brand strategy.
- Join a tight-knit, high-performing team of 80+ analysts who collaborate across 30+ UK and global clients.
- Work in a culture of experimentation and learning, with every project offering a chance to challenge the status quo.
As a Project Lead, you’ll oversee the end-to-end delivery of econometric modelling projects, mentor junior team members, and collaborate with internal stakeholders to ensure outputs are actionable, intuitive, and statistically sound.
You’ll partner with strategy and planning teams to decode business challenges, design custom modelling solutions (primarily MMM), and present insights that drive real-world marketing performance.
What You’ll Do
- Lead the delivery of advanced modelling projects (MMM, forecasting, brand equity analysis, etc.).
- Ensure statistical robustness, model integrity, and timely delivery.
- Translate complex outputs into clear, commercial recommendations for senior marketing stakeholders.
- Coach and support junior analysts, ensuring knowledge sharing and skill development.
- Uphold modelling best practices and contribute to internal process improvement.
- Support new business efforts through analytical thinking and data storytelling.
About You
- Solid, hands-on experience in Marketing Mix Modelling (MMM) and time series econometrics, preferably within the marketing/media industry.
- A degree in a quantitative field such as Economics, Statistics, Mathematics, or Data Science.
- Strong technical skills in R (or similar programming language), Excel, and PowerPoint.
- Experience managing client projects and leading teams of analysts or econometricians.
- Commercial acumen and the ability to align modelling outputs with marketing strategy.
- Familiarity with large, complex datasets and translating data into business value.
What’s in it for you?
- A collaborative, growth-driven environment with global resources and local agility.
- Exposure to high-profile clients and £600M+ in media spend across sectors.
- A flexible hybrid model (4 days in-office), offering the best of both worlds.
- A generous benefits package including health, retirement plans, time off, and more.
- Access to one of the most respected data science and analytics teams in the media world.
Please apply!
Project Lead – Marketing Mix Modelling (MMM) employer: DATAHEAD
Contact Detail:
DATAHEAD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Project Lead – Marketing Mix Modelling (MMM)
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, webinars, or even casual meet-ups. The more you engage, the better your chances of landing that Project Lead role.
✨Showcase Your Skills
When you get the chance to chat with potential employers, make sure to highlight your hands-on experience with Marketing Mix Modelling. Share specific examples of how you've driven results in past projects to really impress them!
✨Prepare for Interviews
Do your homework on the company and their clients. Be ready to discuss how your skills in econometrics and data science can help them tackle their marketing challenges. Confidence is key!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Project Lead – Marketing Mix Modelling (MMM)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Project Lead role. Highlight your experience in Marketing Mix Modelling and any relevant projects you've led. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about marketing analytics and how you can contribute to our team. Be specific about your achievements and how they relate to the role.
Showcase Your Technical Skills: Don’t forget to mention your technical prowess in R, Excel, and PowerPoint. We love seeing candidates who can translate complex data into actionable insights, so give us examples of how you've done this in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at DATAHEAD
✨Know Your MMM Inside Out
Make sure you brush up on your Marketing Mix Modelling knowledge. Be ready to discuss specific projects you've worked on, the methodologies you used, and how they impacted marketing strategies. This shows you're not just familiar with the concepts but have practical experience.
✨Showcase Your Technical Skills
Since this role requires strong technical skills in R or similar programming languages, be prepared to talk about your proficiency. Bring examples of how you've used these tools to analyse data and derive insights. If possible, share a project where your technical skills made a significant difference.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific challenges in econometric modelling. Think about past experiences where you had to decode business challenges and design custom solutions. Practising these scenarios will help you articulate your thought process clearly.
✨Emphasise Team Collaboration
As a Project Lead, you'll be mentoring junior analysts and collaborating with various teams. Share examples of how you've successfully led teams or mentored others in the past. Highlight your ability to communicate complex ideas simply and effectively, as this is crucial for the role.
