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- Tasks: Drive business impact by analysing data to shape strategic marketing decisions.
- Company: Join Confused.com, a pioneering insurance comparison site in the FinTech industry.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be a key player in transforming data into actionable insights that drive growth.
- Qualifications: Experience in data analysis and causal inference, with strong strategic thinking skills.
- Other info: Collaborate with a talented team and influence decisions across the entire business.
The predicted salary is between 36000 - 60000 £ per year.
This is a hybrid role. You will be expected to join us at one of our main hubs (London or Cardiff) approximately twice a month for key team meetings, workshops, and planning sessions.
About us: In 2002, we became the first insurance comparison site. Our purpose is to make the process of sorting your insurance, utilities or personal finances as easy as possible. We’re part of RVU, a group of online brands that include Uswitch, Tempcover and money.co.uk. As a group, we use our shared knowledge to empower people and help them make decisions confidently across a range of household services. Confused.com is at the cutting edge of the FinTech industry, so we’re always looking for extraordinary talent.
About the Role: As a Senior Marketing Data Scientist at Confused.com, you will be a crucial driver of business impact, bridging the gap between complex data and strategic marketing decisions. In this role, we are looking for a strategic analytical leader who will quantify the effectiveness of our marketing strategy. You will partner closely with Marketing, Finance, and leadership to optimize our multi-million pound marketing budget and shape the future of our growth.
This isn’t just a maintenance role; it’s a strategic challenge. Our analytics function is on a mission to evolve from a reactive reporting team into a proactive, value-generating engine, and this role is fundamental to that shift. You will be a key architect of this change, bringing the critical causal inference expertise needed to elevate our team’s technical standards and help us generate new, high-value ideas directly from our data.
About the team: Reporting to our Head of Analytics, you will join our central Data Science sub-team, a high-impact group of specialists that functions as an internal centre of excellence. While your primary focus will be on marketing, your causal inference expertise is so critical that your projects will span the entire business, supporting key decisions in our Partnerships and Comparison teams as well. This provides a unique and broad view of our entire operations.
- What is the true incremental impact of our TV advertising on car insurance sales?
- How should we reallocate our budget between different marketing channels to maximize ROI?
- What is the true impact of our promotional offers on customer acquisition and retention?
- Which customer segments are most responsive to our marketing efforts and why?
Senior Marketing Data Scientist employer: RVU
Contact Detail:
RVU Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Marketing Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Confused.com on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by diving deep into their marketing strategies. Show us you understand how data drives decisions and be ready to discuss how you can contribute to that evolution.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After your interview, drop a quick thank-you note. It shows your enthusiasm and keeps you fresh in their minds.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Marketing Data Scientist
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for the role shine through! We want to see that you’re genuinely excited about the opportunity to make an impact at Confused.com and how your skills align with our mission.
Tailor Your CV: Make sure your CV is tailored specifically for the Senior Marketing Data Scientist role. Highlight relevant experience and skills that match the job description. We love seeing how your background can contribute to our analytics function!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Avoid jargon unless it’s relevant to the role!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at RVU
✨Know Your Data Inside Out
As a Senior Marketing Data Scientist, you’ll need to demonstrate your expertise in data analysis and causal inference. Brush up on relevant case studies and be ready to discuss how you've used data to drive marketing decisions in the past. Show them you can bridge the gap between complex data and strategic insights.
✨Understand Their Business Model
Familiarise yourself with Confused.com and its position within the FinTech industry. Understand their marketing strategies and how they measure success. This will help you tailor your answers to show how your skills can directly impact their business goals.
✨Prepare for Strategic Questions
Expect questions that assess your ability to optimise marketing budgets and evaluate campaign effectiveness. Think of specific examples where you’ve successfully influenced marketing strategies through data-driven insights. Be ready to discuss how you would approach their unique challenges.
✨Show Your Collaborative Spirit
This role involves working closely with various teams, so highlight your experience in cross-functional collaboration. Share examples of how you’ve partnered with marketing, finance, or leadership teams to achieve common goals. They want to see that you can be a key architect of change within their organisation.
