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- Tasks: Drive product analytics and uncover insights for our Zable app used by over 1 million customers.
- Company: Join Lendable, a leading fintech company with a focus on innovation and inclusivity.
- Benefits: Best-in-class compensation, equity options, remote work flexibility, and private health insurance.
- Why this job: Shape product strategy and user experience while working with cutting-edge data science techniques.
- Qualifications: 4+ years in data analytics, strong SQL and Python skills, and experience in A/B testing.
- Other info: Collaborative office environment in Shoreditch with a fully stocked kitchen and excellent career growth.
The predicted salary is between 60000 - 80000 ÂŁ 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‑drop 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 modelling 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.
Life at Lendable: 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, 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.
Senior Product Data Scientist employer: Lendable
Contact Detail:
Lendable Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior 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
Show off your skills! Create a portfolio or a personal project that highlights your data science expertise. This is a great way to demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for interviews 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, we love seeing candidates who are proactive!
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, especially in product-led environments. We want to see how you've used data to drive decisions and improve user experiences.
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 a well-structured application that gets straight to the point!
Demonstrate Your Experimentation Knowledge: Since this role involves A/B testing and experimentation, share specific examples of how you've designed and executed tests in the past. We love seeing candidates who can bring their testing expertise to our team.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Lendable
✨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 to drive product decisions in the past. Prepare examples of metrics and dashboards you've built that had a significant impact.
✨Master the Art of Experimentation
Since you'll own the A/B testing process, come prepared to talk about your experience with experimental design and statistical methods. Think of specific tests you've conducted, the outcomes, and how they influenced product strategy. This will show your analytical rigour and ability to derive actionable insights.
✨Communicate Like a Pro
You’ll be influencing cross-functional teams, so practice explaining complex data findings in simple terms. Prepare to share how you've successfully communicated insights to stakeholders in the past. This will highlight your communication skills and ability to translate data into business recommendations.
✨Showcase Your Strategic Thinking
Be ready to discuss how you've challenged assumptions and shaped strategic discussions in previous roles. Think of examples where your data-driven perspectives led to significant changes or improvements. This will demonstrate your capability as a strategic thought partner.