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- Tasks: Build Media Mix Models and measure marketing impact through experimentation.
- Company: Join a leading consumer brand in Europe with a dynamic marketing team.
- Benefits: Earn up to £650 per day with flexible remote work options.
- Why this job: Make a real impact on marketing strategies for an exciting brand.
- Qualifications: Experience in marketing science, MMM, or causal inference required.
- Other info: Fast-paced environment with opportunities for independent work.
The predicted salary is between 46800 - 78000 £ per year.
We are hiring a Contract Senior Data Scientist to support marketing decision-making for one of Europe’s most exciting consumer brands.
Contract role, immediate start. Up to £650 per day. Remote flexible, usually 2 days per week on-site.
Hands-on role focused on measuring true marketing impact through MMM, incrementality, and experimentation.
What you’ll be doing:
- Build and refine Media Mix Models (MMM) and attribution approaches
- Measure incrementality and causal impact to inform marketing spend
- Design and analyse experiments, including geo tests
- Translate analysis into clear recommendations for senior marketing stakeholders
What we’re looking for:
- Strong experience in marketing science, MMM, econometrics, or causal inference
- Background in D2C, ecommerce, or consumer brands
- Comfortable working independently in fast-moving environments
Data Scientist - Marketing Science in London employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Marketing Science in London
✨Tip Number 1
Network like a pro! Reach out to folks in the marketing science space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Media Mix Models and experiments. This gives potential employers a taste of what you can do, making you stand out.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of incrementality and causal impact. Be ready to discuss how you've applied these concepts in real-world scenarios.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Scientist - Marketing Science in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in marketing science, MMM, and econometrics. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background in D2C or ecommerce makes you a perfect fit. Keep it engaging and personal – we love a bit of personality!
Showcase Your Analytical Skills: Since this role involves measuring marketing impact and designing experiments, make sure to include examples of your analytical work. Whether it’s a project where you built Media Mix Models or conducted geo tests, we want to see your expertise in action!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Oliver Bernard
✨Know Your Models
Make sure you brush up on your Media Mix Models (MMM) and attribution techniques. Be ready to discuss how you've built or refined these models in the past, and think of specific examples where your work has directly influenced marketing decisions.
✨Showcase Your Experimentation Skills
Prepare to talk about your experience with designing and analysing experiments, especially geo tests. Have a couple of case studies in mind that demonstrate your ability to measure incrementality and causal impact effectively.
✨Translate Data into Insights
Practice explaining complex data findings in simple terms. You’ll need to convey your analysis clearly to senior marketing stakeholders, so think about how you can turn technical jargon into actionable recommendations.
✨Be Ready for Fast-Paced Questions
Since this role is in a fast-moving environment, expect rapid-fire questions about your previous experiences. Prepare concise, impactful answers that highlight your ability to work independently and adapt quickly to changing circumstances.
