Senior Product Data Scientist, Lendable

• 4+ years of experience in data analytics, ideally within a product-led or high-growth tech environment
• Hands-on experience with dbt and familiarity with data modelling best practices
• High proficiency in SQL and strong proficiency in data analysis in Python
• Demonstrates strong statistical rigour, applying appropriate methods to ensure robust, reliable insights
• Highly skilled in experimentation frameworks, including A/B testing, hypothesis testing, and causal inference
• Experience building metrics, dashboards and reporting infrastructure
• Demonstrated ability to turn ambiguous problems into structured and data-drive insights
• Excellent communication skills with experience influencing cross-functional stakeholders and product leaders

Desirable

• Join us if you want to:
• Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1
• Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
• Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting
• We are looking for an experienced Senior Product Data Scientist to drive product analytics across our rapidly evolving multi-product app
• In this role, you will play a pivotal part in uncovering insights that shape and accelerate our Zable app, which is used by over 1 million customers on iOS and Android
• This is a high-impact role where your insights will directly shape product strategy and accelerate our core user experience
• You will serve as the primary analytical voice for our Zable app, driving the entire experimentation lifecycle, influencing the decision relating to user experience, and shaping critical business decisions
• Beyond individual contribution, you will be instrumental in establishing analytical best practices, and acting as a key strategic thought partner to Product, Growth, and Engineering leadership
• Drive Product Analytics
• Be the dedicated analytical leader for the Zable app, deeply understanding user behavior and engagement drivers to identify high-impact opportunities
• Develop and maintain key product metrics, dashboards, and reporting frameworks that provide visibility into user behavior, overall app health, and business performance
• Conduct deep-dive analyses into user behaviour, segmentation, and lifecycle patterns to identify growth opportunities and friction points
• Apply data science techniques to build predictive models for user behavior, churn risk, and uplift modeling to inform proactive product decisions
• Drive Experimentation & Testing
• Own the end-to-end A/B testing process, including experimental design, execution, analysis and recommendations
• Establish experimentation standards and best practices, including test design, statistical rigour, and result interpretation
• Shape Strategy & Decision-Making
• Challenge assumptions and provide data-driven perspectives that shape strategic discussions and roadmap planning
• Proactively partner with product managers, analysts and engineers to embed data into the daily decision-making flow and translate complex findings into clear business recommendations
• Establish Analytical Excellence
• Define and champion analytics best practices, standards, and methodologies within the growth analytics team

• Screening call with a recruiter
• Take home task
• Case study Interview
• Final Interviews