Manager leading data science and machine learning initiatives for healthcare payer clients. Focused on operational efficiency, mentoring teams, and actionable insights to reduce costs and improve health outcomes.
About the role
- Senior Product Data Scientist driving product analytics for Lendable's Zable app, influencing strategy and user experience for over 1 million customers.
Responsibilities
- 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.
Requirements
- 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.
Benefits
- Best-in-class compensation, including equity.
- You can work from home every Monday and Friday if you wish - on the other days, those based in the UK come together IRL at our Shoreditch office in London to be together, build and exchange ideas.
- Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday.
- We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance.
- We're an equal-opportunity employer and are looking to make Lendable the most inclusive and open workspace in London.
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