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- Tasks: Drive product analytics and shape user experience for our Zable app.
- Company: Join a leading fintech company with a focus on innovation and inclusivity.
- Benefits: Competitive salary, equity options, remote work flexibility, and health insurance.
- Why this job: Make a real impact on a product used by over 1 million customers.
- Qualifications: 4+ years in data analytics, strong SQL and Python skills required.
- Other info: Collaborative environment with excellent career growth and fresh lunches provided.
The predicted salary is between 60000 - 80000 £ per year.
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.
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
- 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-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.
Interview process
- Screening call with a recruiter.
- Take home task.
- Case study Interview.
- Final Interviews.
The opportunity to scale up one of the world’s most successful fintech companies. Best-in-class compensation, including equity. You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas. Our in-house chefs prepare fresh, healthy lunches 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 keen to make Lendable the most inclusive and open workspace in London.
Senior Product Data Scientist employer: Lendable Ltd
Contact Detail:
Lendable Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Data Scientist
✨Tip Number 1
Get to know the company inside out! Research Zable's app, its features, and user feedback. This way, when you chat with us, you can show off your knowledge and passion for what we do.
✨Tip Number 2
Practice your storytelling skills! Be ready to share how your past experiences have shaped your analytical approach. We love hearing about real-life examples that demonstrate your impact on product strategy.
✨Tip Number 3
Prepare for those technical questions! Brush up on your SQL and Python skills, and be ready to discuss your experience with A/B testing and data modelling. We want to see your analytical prowess in action!
✨Tip Number 4
Don’t forget to ask us questions! Show your interest in our team dynamics and how we collaborate. It’s a two-way street, and we want to ensure you’re a great fit for our culture as much as we are for you.
We think you need these skills to ace Senior Product Data Scientist
Some tips for your application 🫡
Show Your Analytical Skills: Make sure to highlight your experience with data analytics in your application. We want to see how you've used data to drive product decisions and improve user experiences, especially in a fast-paced environment like ours.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your past experiences and how they relate to the role. We appreciate directness and clarity, so avoid jargon where possible!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences that match our job description. Show us why you’re the perfect fit for the Senior Product Data Scientist role at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at Lendable Ltd
✨Know Your Data Inside Out
As a Senior 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 in past projects. Prepare examples of how your insights have influenced product decisions.
✨Master the Experimentation Lifecycle
Since you'll own the A/B testing process, be prepared to talk about your experience with experimental design and analysis. Bring specific examples of tests you've run, the outcomes, and how they shaped product strategy. Show that you can apply statistical rigour to ensure reliable results.
✨Communicate Like a Pro
You’ll need to influence cross-functional teams, so practice explaining complex data findings in simple terms. Think of ways to present your insights visually, perhaps through dashboards or reports, and be ready to discuss how you've communicated data-driven recommendations in the past.
✨Show Your Strategic Thinking
This role is all about shaping strategy, so come prepared with examples of how you've challenged assumptions and provided data-driven perspectives. Think about how you can align your analytical work with broader business goals and be ready to discuss how you’ve partnered with product managers and engineers.