At a Glance
- Tasks: Lead product analytics for our Zable app and drive impactful insights.
- Company: Join Lendable, a fast-growing fintech unicorn with a mission to revolutionise credit.
- Benefits: Competitive salary, equity options, hybrid work, and fresh lunches provided.
- Other info: Dynamic team culture with a focus on well-being and inclusivity.
- Why this job: Shape the future of fintech while making a real impact on user experience.
- Qualifications: 5+ years in data analytics, strong SQL and Python skills required.
The predicted salary is between 80000 - 100000 £ per year.
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 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.
Interview process
- Screening call with a recruiter.
- Take home task.
- Task Debrief.
- Case study Interview.
- Final Interviews.
About Lendable
Lendable is on a mission to build the world's best technology to help people get credit and save money. Founded in 2014, profitable since 2017, unicorn in 2021, and £3.5bn valuation in 2022. Backed by Balderton, Goldman Sachs and Ontario Teachers' Pension Plan. Loved by customers & employees with top reviews on Glassdoor and Trustpilot.
So far, we’ve rebuilt the big three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do. We’re going after the two biggest Western markets (UK and US) where trillions are held by big banks with dated systems and painful processes.
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 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.
Lead Data Scientist - Recommendation System employer: Lendable Ltd
Lendable is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets inclusivity. With best-in-class compensation, including equity, and a strong focus on employee well-being through private health insurance and healthy office lunches, Lendable fosters a culture of collaboration and growth. As a rapidly scaling fintech company, employees have the unique opportunity to shape the future of consumer finance while enjoying a hybrid work model that promotes work-life balance.
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 people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for those interviews! Research the company and its products, especially the Zable app. Show them you’re not just another candidate but someone who genuinely cares about their mission.
✨Tip Number 3
Practice your storytelling skills. Be ready to share how your past experiences align with the role of Lead Data Scientist. Make it relatable and engaging!
✨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 take that extra step.
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.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work where you’ve driven product analytics or led A/B testing processes. We want to see how you’ve made an impact!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that gets straight to the point.
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 and 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 Lead 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 how you've turned complex data into actionable insights.
✨Master the Art of Experimentation
Since you'll be owning the A/B testing process, make sure you can talk about your experience with experimental design and statistical methods. Be prepared to explain how you've established best practices in experimentation and how those have influenced product strategy.
✨Communicate Like a Pro
Strong communication skills are key for this role. Practice explaining your analytical findings in a way that’s clear and compelling to non-technical stakeholders. Think about how you can translate complex data into straightforward business recommendations that resonate with product managers and engineers.
✨Show Your Strategic Thinking
This role requires you to challenge assumptions and shape strategic discussions. Prepare to discuss times when your data-driven insights led to significant changes in product direction or user experience. Highlight your ability to partner with cross-functional teams to embed data into decision-making processes.
