At a Glance
- Tasks: Develop marketing models and analyse data to drive performance across channels.
- Company: Join a global lifestyle brand with a focus on innovation and effectiveness.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Dynamic role with a chance to work in a collaborative environment.
- Why this job: Make an impact by optimising marketing strategies and presenting insights to senior leaders.
- 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 in London employer: LinkedIn
Join a dynamic global lifestyle brand that champions innovation and creativity, offering a vibrant work culture where collaboration thrives. As a Marketing Data Scientist, you'll benefit from competitive salary packages, flexible hybrid working arrangements, and ample opportunities for professional growth in the heart of London. With a focus on employee development and a commitment to impactful marketing strategies, this company is an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Marketing Data Scientist in 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 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: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 from us!
How to prepare for a job interview at LinkedIn
✨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 not only understand the theory but can also apply it practically.
✨Data Storytelling is Key
Prepare to present your findings in a way that tells a story. Think about how you can translate complex data into clear insights that resonate with stakeholders. Practise explaining your past projects and the impact they had on marketing strategies.
✨Familiarise Yourself 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 specific examples of how you've used these tools to drive results in previous roles.
✨Cross-Functional Collaboration
Highlight your experience working with different teams, such as marketing, analytics, and data engineering. Prepare examples that showcase your ability to communicate complex concepts clearly and how this collaboration has led to successful outcomes.
