At a Glance
- Tasks: Lead product analytics for our Zable app, driving insights and shaping user experience.
- Company: Join a rapidly growing fintech company with a winning team culture.
- Benefits: Flexible working, health coverage, retirement plans, and delicious office meals.
- Other info: Enjoy social events and opportunities for career growth in a dynamic environment.
- Why this job: Make a real impact on a product used by over 1 million customers.
- Qualifications: 5+ years in data analytics, strong SQL and Python skills, and A/B testing expertise.
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 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 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: 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
- Winning team: the opportunity to scale up one of the world’s most successful fintech companies.
- Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in‑person connection through socials and off‑sites.
- Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls.
- Health coverage: support for your physical and mental wellbeing, including private health cover.
- Retirement & savings: long‑term financial wellbeing through retirement savings plans.
- Employee referral programme: earn a competitive bonus when you refer successful new team members.
- Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in‑house chefs on in‑office days at select locations.
- Sustainable commuting: cycle‑to‑work and electric vehicle salary sacrifice schemes available in select locations.
Lead Data Scientist - Recommendation System employer: Lendable
At Lendable, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. As a Lead Data Scientist for our Zable app, you'll not only have the opportunity to influence product strategy for over a million users but also benefit from our flexible working arrangements, comprehensive health coverage, and a strong focus on employee growth through mentorship and social events. Join us in shaping the future of fintech while enjoying a supportive culture that values your contributions and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist - Recommendation System
✨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 GitHub repository showcasing your data science projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 genuinely interested in joining our team!
We think you need these skills to ace Lead Data Scientist - Recommendation System
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Lead Data Scientist role. Highlight your experience with product analytics and data science techniques that align with what we're looking for. This shows us you’re genuinely interested in the position!
Showcase Your Skills:Don’t hold back on showcasing your SQL and Python skills! Include specific examples of how you've used these tools in past projects, especially in A/B testing and building dashboards. We want to see your analytical prowess in action!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Lendable
✨Know Your Data Inside Out
Before the interview, dive deep into the data analytics landscape, especially focusing on product-led environments. Brush up on your SQL skills and be ready to discuss how you've used data to drive product decisions in the past.
✨Master A/B Testing Concepts
Since this role involves owning the A/B testing process, make sure you can articulate your experience with experimental design and statistical methods. Prepare examples of tests you've conducted and the insights gained from them.
✨Communicate Clearly and Confidently
You’ll need to influence cross-functional teams, so practice explaining complex data findings in simple terms. Think of a few key metrics or insights that you can share that demonstrate your ability to turn data into actionable recommendations.
✨Showcase Your Strategic Thinking
Be prepared to discuss how you've challenged assumptions in previous roles. Think of specific instances where your data-driven insights shaped strategic discussions or influenced product roadmaps, and be ready to share those stories.
