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.
- Other info: Join a dynamic team and collaborate across functions in a vibrant environment.
- Why this job: Make a real impact by optimising marketing effectiveness with data-driven insights.
- Qualifications: Experience in econometric modelling, strong Python/SQL skills, and familiarity with marketing tools.
The predicted salary is between 70000 - 80000 € per year.
A global lifestyle brand is seeking a 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 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 a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work alongside talented professionals in a hybrid environment that promotes work-life balance. Enjoy competitive compensation and the unique advantage of being part of a forward-thinking company at the heart of London’s thriving business scene.
StudySmarter Expert Advice🤫
We think this is how you could land Marketing Data Scientist
✨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
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 make it personal – we love a good story!
Showcase Your Technical Skills:Since we’re looking for someone with strong technical abilities, be sure to mention any experience with MMM and MTA tools, as well as cloud platforms like AWS or GCP. This will help us see how you can hit the ground running!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. 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 Models
Make sure you brush up on your econometric modelling 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.
✨Data Storytelling is Key
Prepare to present your findings in a way that tells a compelling story. Think about how you can translate complex data insights into clear, actionable recommendations. Practising this will help you impress senior stakeholders during the interview.
✨Familiarise with Tools
Get comfortable with the tools mentioned in the job description, like PyMC, Robyn, and Meridian. If you have experience with them, be ready to share examples of how you've used these tools to drive marketing performance.
✨Cross-Functional Collaboration
Highlight your experience working with different teams, such as marketing, analytics, and data engineering. Be prepared to discuss how you’ve ensured accurate data inputs and collaborated effectively to achieve common goals.
