Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop marketing models and analyse data to drive performance across channels.
- Company: Global lifestyle brand focused on innovative marketing strategies.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact on global marketing effectiveness.
- Qualifications: Experience in econometric modelling and strong Python/SQL skills required.
- Other info: Exciting role with the chance to present insights to senior stakeholders.
The predicted salary is between 42000 - 84000 £ per year.
A global lifestyle brand is seeking an Marketing Data Scientist to support its global marketing effectiveness strategy. In this role, you will help expand and optimise data science models across markets, delivering insights that guide smarter media investment and drive performance across channels.
Responsibilities
- Develop and maintain marketing models to measure channel performance
- Analyse multi-channel marketing data to identify performance drivers and ROI
- Support model rollout in new countries and monitor ongoing performance
- Collaborate with marketing, analytics, and data engineering teams to ensure accurate data inputs
- Continuously refine modelling approaches and explore new methodologies
- Translate complex modelling outputs into clear, actionable insights
- Present findings to senior stakeholders through compelling storytelling
- Build dashboards and visualisations to monitor marketing performance
- Contribute to optimising media planning using MMM outputs
Requirements
- Experience in econometric modelling and advanced analytics
- Strong Python/SQL skills are essential
- Familiarity with MMM and MTA tools (e.g., PyMC, Robyn, Meridian), is preferred
- Understanding of marketing channels, metrics, and retail/luxury environments
- Experience with cloud platforms (AWS, GCP, Snowflake)
- Ability to work cross-functionally and communicate complex concepts clearly
- Knowledge of incrementality testing (e.g., GeoLift) is a bonus
Details
- Start date: ASAP
- Contract: 12 Month FTC
- Salary: £70,000 per annum
- Location: Hybrid, 2-3 days per week in London
Marketing Data Scientist in City of London employer: FRESHMINDS
Contact Detail:
FRESHMINDS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to marketing models. We want to see how you’ve used Python and SQL to drive insights – make it pop!
✨Tip Number 3
Prepare for interviews by practising your storytelling skills. We need to convey complex modelling outputs in a way that even non-technical folks can understand. Think about how you’d present your findings to senior stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our brand.
We think you need these skills to ace Marketing Data Scientist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Marketing Data Scientist. Highlight your experience with econometric modelling and advanced analytics, and don’t forget to showcase your Python and SQL skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Use it to explain how your background aligns with our needs, especially in multi-channel marketing data analysis and model development.
Showcase Your Storytelling Skills: We love candidates who can translate complex data into clear insights. In your application, give examples of how you've presented findings to stakeholders in a way that’s engaging and easy to understand.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at FRESHMINDS
✨Know Your Data Models
Make sure you brush up on your econometric modelling skills and be ready to discuss specific models you've developed. Be prepared to explain how these models can measure channel performance and drive ROI, as this will show your understanding of the role's core responsibilities.
✨Showcase Your Technical Skills
Since strong Python and SQL skills are essential, come armed with examples of how you've used these tools in past projects. You might even want to prepare a mini-case study or two that highlights your experience with MMM and MTA tools, as this will demonstrate your hands-on expertise.
✨Communicate Clearly
This role requires translating complex data insights into actionable recommendations. Practice explaining your findings in simple terms, as if you were presenting to someone without a technical background. This will help you stand out as a candidate who can bridge the gap between data science and marketing.
✨Prepare for Storytelling
Since you'll need to present findings to senior stakeholders, think about how you can weave a compelling narrative around your data insights. Use real-world examples to illustrate your points and make sure to highlight how your contributions can optimise media planning and improve marketing effectiveness.