
Lendable · Zable App, Growth Analytics
Senior Product Data Scientist
NewhybridSeniorLondonFinTechB2CPlatform
Our Take
Lead product analytics and A/B testing for Zable app at Lendable.
What they’re looking for
- 4+ years in product or growth analytics
- SQL and Python proficiency
- dbt and data modelling experience
- A/B testing and causal inference expertise
- Dashboard and metrics infrastructure experience
- Cross-functional stakeholder communication
As posted by Lendable
The role
- You are the dedicated analytical leader for the Zable app, used by over 1 million customers on iOS and Android.
- You own the full A/B testing lifecycle — experimental design, execution, statistical analysis, and recommendations.
- You build predictive models for user behaviour, churn risk, and uplift modelling to drive proactive product decisions.
- You develop and maintain key product metrics, dashboards, and reporting frameworks tracking app health and business performance.
- You act as a strategic thought partner to Product, Growth, and Engineering leadership, translating complex findings into clear recommendations.
What they are looking for
- 4+ years in data analytics within a product-led or high-growth tech environment.
- High proficiency in SQL and Python for data analysis; hands-on experience with dbt and data modelling.
- Strong statistical rigour across experimentation frameworks: A/B testing, hypothesis testing, and causal inference.
- Proven ability to turn ambiguous problems into structured, data-driven insights and influence cross-functional stakeholders.
- Experience in fintech or financial services products is a plus.
What is in it for you
- Equity package alongside best-in-class compensation at a UK unicorn profitable since 2017.
- Hybrid working: remote Mondays and Fridays, with collaborative in-person days Tuesday–Thursday at the Shoreditch office.
- Private health insurance coverage for physical and mental well-being.
- Fully stocked kitchen and a small-team environment with real ownership from day one.
Skills & Focus Areas
- SQL
- Python
- dbt
- A/B testing
- data modelling
- dashboarding
- causal inference
