Job Description

Senior Marketing Data Scientist
Department: Data & Analytics
Employment Type: Full Time
Location: London
Description
Hybrid. You'll be expected to join us at one of our offices (London or Cardiff) approx. twice a month
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 optimise 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 team, a high-impact group of specialists that functions as an internal centre of excellence.
We answer questions like:

• 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?

What you'll be doing:
You'll leverage a modern data stack to:

• Take ownership of a critical, high-value, and high-visibility process that determines our ad spend.
• Design, build, and maintain advanced Marketing Mix Models to inform strategic budget allocation.
• Apply causal inference techniques to measure the incremental impact of specific marketing campaigns and initiatives.
• Partner with senior stakeholders to translate complex model outputs into clear, actionable recommendations for leadership.
• Champion and build greater team autonomy by designing robust, source-controlled data pipelines for marketing data products.
• Mentor and up-skill our wider analytics team, in the principles of experimental design and causal inference, helping to level-up the entire team.
• Mentor and up-skill our wider analytics team, in the principles of experimental design and causal inference, helping to level-up the entire team.

What we're looking for

• You have an expert-level SQL and Python skills for large-scale data analysis and model development.
• You have a deep understanding of causal inference methodologies (e.g., DiD, PSM/IPW) and advanced experimental design (A/B/n testing).
• Ideally, you have proven experience developing and deploying Marketing Mix Models in a commercial environment.
• Strong statistical foundation, ideally including Bayesian methods.
• A passion for building production-quality, source-controlled data products, with data engineering skills to help the team own more of its data pipelines.
• Exceptional stakeholder management and influence, with a demonstrated ability to translate complex quantitative concepts for senior, non-technical audiences.
• An ambassador for data, who can advocate for data-driven decisions across multi-disciplinary teams.
• A growth mindset and a passion for mentoring, with a desire to help raise the entire team's technical standard.

Our commitment to you:
At RVU, we are dedicated to developing valuable, inclusive, and user-friendly products and services that deliver positive outcomes for all of our customers. To achieve this it's essential that our teams reflect the diverse range of people in our community. We believe in being the change we wish to see in the world, by embracing our differences and holding ourselves accountable to being open and inclusive teammates and wider community members.
What we offer
We want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to:

• 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance)
• A hybrid working approach with 2 in-office days per week and up to 22 working days per year to "work from anywhere"
• Employer matching pension contributions up to 7.5%
• A one-off 300 "Work from Home" budget to help contribute towards a great work environment at home
• Excellent maternity, paternity, shared parental and adoption leave policy, for those key moments in your life
• 25 days holiday (increasing to 30 days) + 2 days "My Time" per year
• Private medical cover, critical illness cover , dental plans and employee assistance programme
• Free gym access
• Employee discounts programme
• A healthy learning and training budget to support your development
• Electric vehicle and cycle to work schemes
• Regular events - from team socials to company-wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected

*As a tech company who strives to get better every day, we use Metaview during the interview processes for note taking purposes. This records and transcribes interviews so the interviewer can fully focus on your conversation, rather than writing. This has no bearing on the assessment of you as a candidate and you can opt out at any time. Just let us know.

Skills Required