Lead Data Scientist (Fintech)

TL;DR

Lead Data Scientist (Recommendation System): Driving product analytics for the Zable app to optimize user experience with an accent on experimentation, predictive modeling, and user behavior analysis. Focus on owning the end-to-end A/B testing process, building predictive models for churn and uplift, and shaping product strategy through data-driven insights.

Location: Hybrid in London (Work from home every Monday and Friday)

Company

hirify.global is a fintech unicorn dedicated to building world-class technology to help people access credit and save money.

What you will do

• Lead product analytics for the Zable app to identify high-impact opportunities by analyzing user behavior and engagement.
• Develop and maintain key product metrics, dashboards, and reporting frameworks for app health and business performance.
• Build predictive models for user behavior, churn risk, and uplift modeling to drive proactive product decisions.
• Own the entire A/B testing lifecycle, including experimental design, execution, and statistical analysis.
• Partner with Product, Growth, and Engineering leadership to translate complex data findings into strategic business recommendations.
• Establish and champion analytical best practices and methodologies within the growth analytics team.

Requirements

• 5+ years of experience in data analytics, ideally within a product-led or high-growth tech environment.
• High proficiency in SQL and strong proficiency in Python for data analysis.
• Hands-on experience with dbt and data modeling best practices.
• Strong statistical rigor and expertise in experimentation frameworks, including A/B testing and causal inference.
• Proven ability to build reporting infrastructure and turn ambiguous problems into structured insights.
• Location: Must be based in London to support the hybrid work model.

Nice to have

• Direct experience in product analytics.
• Experience working with fintech or financial services products.

Culture & Benefits

• Hybrid work flexibility with remote days every Monday and Friday.
• Best-in-class compensation packages including equity.
• In-house chefs providing fresh, healthy lunches in the office Tuesday through Thursday.
• Private health insurance coverage for physical and mental well-being.
• Inclusive and open workspace based in London.

Hiring process

• Screening call with a recruiter.
• Take-home technical task followed by a debrief.
• Case study interview.
• Final interviews.