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- Tasks: Lead advanced marketing modelling projects and mentor junior analysts.
- Company: Join a world-leading marketing consultancy with a focus on 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 required.
- Other info: Collaborative environment with excellent growth opportunities and global resources.
The predicted salary is between 36000 - 60000 £ per year.
Project Lead – Marketing Mix Modelling (MMM)Location: London (Hybrid – 2 days in office)Type: PermanentSector: Global Marketing ConsultancyJoin 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 DoLead 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 YouSolid, 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: LinkedIn
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StudySmarter Expert Advice 🤫
We think this is how you could land Project Lead – Marketing Mix Modelling (MMM)
✨Tip Number 1
Network like a pro! Reach out to your connections in the marketing and data science fields. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for interviews by practising common questions related to Marketing Mix Modelling. Think about how you can showcase your experience with econometrics and data analysis. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Showcase your skills through a portfolio! If you’ve worked on relevant projects, create a presentation or a case study that highlights your contributions and results. This will help you stand out and demonstrate your expertise in MMM.
✨Tip Number 4
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 and engaged with our brand. So, go ahead and submit your application today!
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 your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: Don’t forget to mention your technical prowess! Whether it's R, Excel, or PowerPoint, let us know how you’ve used these tools in your previous roles. We love seeing how you can bring data to life!
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 updates. We can’t wait to hear from you!
How to prepare for a job interview at LinkedIn
✨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 will show your depth of understanding and practical experience.
✨Showcase Your Leadership Skills
As a Project Lead, you'll need to demonstrate your ability to manage teams and mentor junior analysts. Prepare examples of how you've successfully led projects in the past, highlighting your coaching style and how you foster collaboration within your team.
✨Translate Data into Insights
Practice explaining complex statistical concepts in simple terms. The interviewers will want to see how you can take intricate modelling outputs and turn them into actionable recommendations for senior stakeholders. Use real-life examples to illustrate your point.
✨Familiarise Yourself with Their Clients
Research the consultancy's high-profile clients and their industries. Understanding their challenges and how your skills can address them will give you an edge. Tailor your responses to show how your experience aligns with their needs and objectives.
