Senior Marketing Data Scientist
Confused.com
- London, England, United Kingdom
- London, England, United Kingdom
About
Senior Marketing Data Scientist
role at
Confused.com .
Hybrid. You will be expected to join us at one of our offices (London or Cardiff) approximately 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 are part of RVU, a group of online brands that include Uswitch, Tempcover and money.co.uk, empowering people to make confident decisions across household services.
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. 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 role is a strategic challenge; we are moving from a reactive reporting team to a proactive, value‑generating engine and you will be the key architect of that shift.
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 maximise 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
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 principles of experimental design and causal inference, helping to raise the entire team’s technical standard.
What We’re Looking For
Expert‑level SQL and Python skills for large‑scale data analysis and model development.
Deep understanding of causal inference methodologies (e.g., DiD, PSM/IPW) and advanced experimental design (A/B/n testing).
Ideally, 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.
Exceptional stakeholder management and influence, with a demonstrated ability to translate complex quantitative concepts for senior, non‑technical audiences.
An ambassador for data, able to 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. We believe in being the change we wish to see by embracing our differences and holding ourselves accountable to being open and inclusive teammates and community members.
What We Offer
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 create a great environment at home.
Excellent maternity, paternity, shared parental and adoption leave policy.
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 and 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.
Use of Metaview during interview processes for note‑taking; you may opt out at any time.
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Languages
- English
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