Senior Marketing Data Scientist – Confused.com
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This is a hybrid role. You'll 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? 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. If you love what you do, get in touch today!
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 center 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?