TL;DR

Senior Marketing Data Scientist (Fintech): Develop and optimize advanced marketing mix models and causal inference analyses to drive strategic marketing budget allocation and business growth. Focus on designing robust data pipelines, applying experimental design, and mentoring analytics teams to elevate technical standards.

Location: Hybrid role based in Cardiff or London, UK with expected office presence approximately twice a month.

Company

%hirify_global% is part of RVU, a group of online brands including Confused.com, Uswitch, and money.co.uk, focused on empowering consumers in the FinTech and online services space.

What you will do

Own and develop advanced Marketing Mix Models to inform strategic marketing budget decisions.
Apply causal inference techniques to measure incremental impact of marketing campaigns.
Build and maintain source-controlled data pipelines for marketing data products.
Partner with senior stakeholders to translate complex data insights into actionable recommendations.
Mentor and upskill the analytics team in experimental design and causal inference methodologies.
Drive the evolution of the analytics function from reactive reporting to proactive value generation.

Requirements

Location: Must be able to work hybrid from Cardiff or London, UK.
Expert-level SQL and Python skills for large-scale data analysis and model development.
Deep understanding of causal inference methods and experimental design (A/B/n testing).
Experience with Marketing Mix Models in commercial environments.
Strong statistical foundation including Bayesian methods.
Excellent stakeholder management and communication skills.

Nice to have

Data engineering skills for building production-quality data products.
Passion for mentoring and raising team technical standards.

Culture & Benefits

10% discretionary yearly bonus and annual pay reviews.
Option to work remotely up to 22 days per year.
Employer pension contributions up to 7.5% and a £300 home office budget.
Generous leave policies including maternity, paternity, and adoption leave.
Private medical, dental, and critical illness cover.
Learning and training budget, free gym access, and employee discounts.
Electric vehicle and cycle to work schemes.
Regular team and company-wide events.

Hiring process

Application submission.
Review stage.
Interview stage including technical and cultural fit assessments.
Hiring decision.