
Lendable · Growth Analytics, Product Data Science
Lead Product Data Scientist
NewhybridLeadLondonFinTechPayments
Our Take
Lead product analytics and experimentation strategy for Zable at Lendable.
What they’re looking for
- 5+ years product analytics experience
- dbt, SQL, Python proficiency
- A/B testing and experimentation design
- Statistical rigour and causal inference
- Cross-functional stakeholder influence
As posted by Lendable
The role
- Be the dedicated analytical leader for Zable app (1M+ users on iOS/Android), owning the entire experimentation lifecycle from design through recommendation.
- Develop and maintain key product metrics, dashboards, and reporting frameworks that surface user behavior, app health, and business performance.
- Conduct deep-dive analyses into user segmentation, lifecycle patterns, and build predictive models for churn risk and uplift to inform product decisions.
- Challenge assumptions and shape strategic roadmap discussions by translating complex findings into clear business recommendations for Product, Growth, and Engineering leadership.
- Define and champion analytics best practices, standards, and methodologies across the growth analytics team.
What they are looking for
- 5+ years of data analytics experience in product-led or high-growth tech environments, with demonstrated expertise in A/B testing, hypothesis testing, and causal inference.
- Hands-on proficiency with dbt, SQL (high), and Python (strong), plus deep knowledge of data modelling best practices.
- Strong statistical rigour: you apply appropriate methods to ensure robust, reliable insights and can turn ambiguous problems into structured data-driven solutions.
- Excellent communication skills with proven ability to influence cross-functional stakeholders and product leaders.
- Experience building metrics, dashboards, and reporting infrastructure (fintech or financial services a plus).
What is in it for you
- Scale one of the world's fastest-growing fintech unicorns (profitable since 2017, backed by Balderton Capital and Goldman Sachs) where your insights directly shape Zable's direction from day one.
- Hybrid working (3 days in-office weekly at London HQ) with flexible arrangements tailored to your role.
- Comprehensive benefits: private health cover, retirement savings plans, in-house chef lunches on in-office days, cycle-to-work and EV salary sacrifice schemes.
- Work alongside exceptional, resourceful teams solving trillion-pound problems in UK and US consumer finance.
Skills & Focus Areas
- A/B testing
- SQL
- Python
- dbt
- experimentation design
- statistical analysis
- causal inference
- dashboard design
Languages
English
