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- Tasks: Lead product analytics for our Zable app, driving insights and experimentation.
- Company: Join a dynamic fintech company focused on innovation and inclusivity.
- Benefits: Competitive salary, equity, remote work options, and health insurance.
- Why this job: Shape product strategy and user experience for over 1 million customers.
- Qualifications: 5+ years in data analytics, strong SQL and Python skills required.
- Other info: Collaborative office environment with a fully stocked kitchen and great career growth.
The predicted salary is between 70000 - 90000 £ per year.
About the Role
We are looking for an experienced Lead 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 decisions related 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.
What You’ll Do
- 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.
What We’re Looking For
Core Qualifications
- 5+ 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‑driven insights.
- Excellent communication skills with experience influencing cross‑functional stakeholders and product leaders.
Nice to Haves
- Experience in product analytics.
- Experience in fintech or financial services products.
Life at Lendable
Best‑in‑class compensation, including equity. 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.
Lead Product Data Scientist employer: Lendable
Contact Detail:
Lendable Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Product Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Showcase your skills! Create a portfolio or a personal project that highlights your data science expertise. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by practising common questions and scenarios related to product analytics. We recommend using the STAR method to structure your answers effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining us.
We think you need these skills to ace Lead Product Data Scientist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lead Product Data Scientist role. Highlight your experience in product analytics and data science techniques that align with what we’re looking for. This shows us you’re genuinely interested and have the right skills!
Showcase Your Impact: When detailing your past experiences, focus on the impact you’ve made in previous roles. Use specific examples of how your insights shaped product strategies or improved user experiences. We love seeing how you’ve driven results!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s relevant. We appreciate clarity, especially when it comes to complex data insights – make it easy for us to understand your contributions!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values.
How to prepare for a job interview at Lendable
✨Know Your Data Inside Out
As a Lead Product Data Scientist, you’ll need to demonstrate a deep understanding of data analytics. Brush up on your SQL and Python skills, and be ready to discuss how you've used these tools to drive product decisions in the past. Prepare examples of key metrics or dashboards you've developed that had a significant impact on user engagement.
✨Master the Art of Experimentation
Since you'll be owning the A/B testing process, make sure you can articulate your approach to experimental design and analysis. Be prepared to share specific examples of tests you've run, the hypotheses you formulated, and how the results influenced product strategy. Highlight your familiarity with statistical methods and best practices in experimentation.
✨Communicate Like a Pro
Strong communication skills are crucial for this role. Practice explaining complex data insights in simple terms, as you’ll need to influence cross-functional stakeholders. Think about how you can translate technical findings into actionable business recommendations that resonate with product managers and engineers.
✨Showcase Your Strategic Thinking
This role requires you to challenge assumptions and provide data-driven perspectives. Prepare to discuss how you've shaped strategic discussions in previous roles. Think of instances where your insights led to critical business decisions, and be ready to explain your thought process and the impact of your contributions.