Senior Product Data Scientist (Fintech)

TL;DR

Senior Product Data Scientist (Fintech): Drive product analytics for multi-product Zable app serving over 1 million customers with an accent on user behavior analysis, predictive modeling, and experimentation. Focus on owning A/B testing lifecycle, developing dashboards and metrics, and shaping product strategy through data-driven insights.

Location: Hybrid in London (work from home Monday and Friday, office Tuesday-Thursday)

Company

Fintech unicorn founded in 2014, profitable since 2017, building consumer finance products like loans, credit cards, and car finance for UK and US markets.

What you will do

• Lead analytics for Zable app, analyzing user behavior, engagement, and lifecycle patterns to identify growth opportunities
• Develop and maintain product metrics, dashboards, and reporting frameworks for app health and performance
• Build predictive models for user behavior, churn risk, and uplift to inform product decisions
• Own end-to-end A/B testing process, from design and execution to analysis and recommendations
• Partner with Product, Growth, and Engineering to embed data in decision-making and roadmap planning
• Establish analytics best practices, standards, and methodologies within the team

Requirements

• 4+ years in data analytics, ideally in product-led or high-growth tech
• Hands-on with dbt and data modeling best practices
• High proficiency in SQL and strong Python for data analysis
• Strong statistical rigor and experimentation skills including A/B testing and causal inference
• Experience building metrics, dashboards, and reporting infrastructure
• Ability to turn ambiguous problems into structured insights and influence stakeholders

Nice to have

• Product analytics experience
• Fintech or financial services experience

Culture & Benefits

• Best-in-class compensation including equity
• Private health insurance coverage
• Fresh healthy lunches prepared by in-house chefs on office days
• Equal opportunity employer focused on inclusivity
• Top employee and customer reviews on Glassdoor and Trustpilot

Hiring process

• Screening call with recruiter
• Take-home task
• Case study interview
• Final interviews