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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