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 present your findings to senior stakeholders.
- 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
Data Scientist, Python, Machine Learning, Remote in London employer: Freshminds
As a leading global lifestyle brand, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our Data Scientists enjoy the flexibility of a hybrid work model, allowing for a balanced professional and personal life while being part of a team that values continuous learning and growth. With competitive salaries and opportunities to engage with senior stakeholders, this role offers a unique chance to make a significant impact on our marketing effectiveness strategy in a vibrant London setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, Python, Machine Learning, Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python and machine learning. This will give potential employers a taste of what you can do.
✨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!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge.
We think you need these skills to ace Data Scientist, Python, Machine Learning, Remote in 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, Python, and any relevant tools like MMM or MTA. We want to see how your skills align with our needs!
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 Analytical Skills:In your application, don’t shy away from showcasing your analytical prowess. Mention any projects where you've developed marketing models or analysed multi-channel data. We love seeing how you turn complex data into actionable insights!
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 important updates. Plus, it’s super easy!
How to prepare for a job interview at Freshminds
✨Know Your Data Science 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 role and can hit the ground running.
✨Show Off Your Python Skills
Since strong Python and SQL skills are essential for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be ready to explain your thought process as you go.
✨Communicate Clearly
This role involves translating 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 the interviewers and showcase your communication skills.
✨Prepare for Cross-Functional Collaboration
Since you'll be working with marketing, analytics, and data engineering teams, think of examples where you've successfully collaborated across different functions. Highlight your ability to work in a team and how you’ve ensured accurate data inputs in previous roles.
