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, and opportunities for professional growth.
- Other info: Exciting role with potential for career advancement in a vibrant industry.
- 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.
The predicted salary is between 70000 - 80000 € 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-£80,000 per annum
- Location: Hybrid, 2-3 days per week in London
Marketing Data Scientist in City of London employer: Freshminds
Join a dynamic global lifestyle brand that values innovation and collaboration, offering a vibrant work culture where your contributions as a Marketing Data Scientist will directly impact marketing effectiveness across diverse markets. With opportunities for professional growth, competitive salary, and the flexibility of a hybrid working model in London, you will thrive in an environment that encourages creativity and data-driven decision-making.
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. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to marketing models. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your storytelling skills. Be ready to explain your modelling approaches and how they’ve driven performance in past roles. Make it relatable and engaging!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
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. Share specific examples of how you've used data science to drive marketing performance and how you can contribute to our global strategy.
Showcase Your Storytelling Skills:We love candidates who can translate complex data into clear insights. In your application, give us a taste of how you would present findings to senior stakeholders. A little storytelling goes a long way!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Freshminds
✨Know Your Data Models
Make sure you brush up on your econometric modelling and advanced analytics skills. Be ready to discuss specific models you've developed or worked with, especially in relation to marketing effectiveness. This will show that you understand the core responsibilities of the role.
✨Showcase Your Technical Skills
Since strong Python and SQL skills are essential, prepare to demonstrate your proficiency. You might be asked to solve a problem or analyse a dataset during the interview, so practice coding challenges beforehand to ensure you're sharp and ready.
✨Communicate Clearly
You’ll need to translate complex modelling outputs into actionable insights. Practice explaining your past projects in simple terms, focusing on how your findings impacted decision-making. This will help you connect with non-technical stakeholders during the interview.
✨Prepare for Collaborative Questions
As this role involves working cross-functionally, think of examples where you've collaborated with marketing, analytics, or data engineering teams. Be ready to discuss how you ensured accurate data inputs and how you handled any challenges that arose during these collaborations.
