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- Tasks: Lead econometric projects from start to finish and present insights confidently.
- Company: Join a multi-award-winning analytics powerhouse redefining brand success measurement.
- Benefits: Enjoy a hybrid work model and collaborate with a global team of experts.
- Why this job: Step into a leadership role in a data-obsessed culture that values innovation.
- Qualifications: Hands-on experience in econometric modelling and strong skills in Python, R, or SQL.
- Other info: Mentor junior team members and shape innovative data science products.
The predicted salary is between 48000 - 84000 £ per year.
Join a multi-award-winning analytics powerhouse that’s redefining how brands measure success. We’re looking for a rising star in Marketing Mix Modelling - someone with proven hands-on experience, hungry to lead delivery, shape strategy, and challenge conventional thinking in media measurement.
This is your opportunity to step into a leadership role within a collaborative, data-obsessed team that works across a global network of data scientists, engineers, and media specialists.
What You’ll Be Doing
- Lead end-to-end delivery of econometric projects—from scoping to insight delivery.
- Be the face of MMM: Own client relationships, manage stakeholders, and confidently present recommendations.
- Build and refine automated, scalable modelling solutions using Python, R, or SQL.
- Collaborate with internal Centres of Excellence to push boundaries in analytics and attribution.
- Help shape innovative data science products that move the needle for clients.
- Mentor and inspire junior team members, fostering growth and excellence.
What You Bring
- Hands-on experience in MMM/econometric modelling.
- A strong grounding in statistical modelling with the ability to translate complexity into clarity.
- Confident storyteller—able to explain technical insights in commercial terms.
- Solid skills in Python, R, or SQL (or eager to level up).
- Experience with scenario planning and delivering high-impact outputs for marketing/media teams.
- Comfortable working within agency or consultancy environments.
Bonus Points For:
- Familiarity with cloud platforms like GCP/BigQuery or handling large datasets.
- Exposure to Bayesian methods or advanced non-linear modelling approaches.
- Experience with open-source or proprietary MMM tools (e.g. Robyn, Meridian).
- Strong data visualisation skills (Power BI, Tableau, Looker Studio).
- Background in econometrics, statistics, applied mathematics, or a similar quantitative field.
Please apply!
Contact Detail:
DATAHEAD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Econometric Modelling Lead (Marketing Mix Modelling)
✨Tip Number 1
Familiarise yourself with the latest trends and techniques in Marketing Mix Modelling. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the econometrics and data analytics fields. Attend industry events or webinars where you can meet potential colleagues or mentors who can provide insights into the company culture and expectations at StudySmarter.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully led econometric modelling initiatives. Be ready to explain your thought process, the tools you used, and the impact of your work on previous clients or teams.
✨Tip Number 4
Showcase your ability to communicate complex statistical concepts in simple terms. Practice explaining your past work to someone without a technical background, as this skill is crucial for the role and will impress the interviewers at StudySmarter.
We think you need these skills to ace Econometric Modelling Lead (Marketing Mix Modelling)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience in econometric modelling and marketing mix modelling. Use specific examples that demonstrate your ability to lead projects and manage client relationships.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how you can contribute to the company's innovative approach. Mention your familiarity with Python, R, or SQL, and how you’ve used these skills in previous roles.
Showcase Your Storytelling Skills: Since the role requires explaining technical insights in commercial terms, include examples in your application where you've successfully communicated complex data findings to non-technical stakeholders.
Highlight Leadership Experience: If you have experience mentoring or inspiring junior team members, make sure to include this in your application. Discuss how you foster growth and excellence within a team setting.
How to prepare for a job interview at DATAHEAD
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with econometric modelling and the tools you’ve used, such as Python, R, or SQL. Highlight specific projects where you successfully applied these skills to deliver impactful insights.
✨Demonstrate Your Storytelling Ability
As a confident storyteller, you should be ready to explain complex technical insights in simple, commercial terms. Practice articulating how your findings can drive business decisions and improve marketing strategies.
✨Prepare for Stakeholder Management Scenarios
Since you'll be managing client relationships, think of examples where you've successfully navigated stakeholder expectations. Be ready to discuss how you handle feedback and present recommendations effectively.
✨Emphasise Your Leadership Qualities
This role involves mentoring junior team members, so be prepared to share your experiences in leadership. Discuss how you inspire growth and excellence within a team, and provide examples of how you've fostered collaboration.
