At a Glance
- Tasks: Lead product analytics for our Zable app, driving insights and experimentation.
- Company: Join Lendable, a fast-growing fintech unicorn transforming credit access.
- Benefits: Flexible working, health coverage, retirement plans, and social events.
- Other info: Dynamic team culture with excellent career growth opportunities.
- Why this job: Make a real impact on user experience for over 1 million customers.
- Qualifications: 5+ years in data analytics, strong SQL and Python skills required.
The predicted salary is between 80000 - 100000 £ per year.
About Lendable
Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start:
- One of the UK’s newest unicorns with a team of just over 700 people
- Among the fastest-growing tech companies in the UK
- Profitable since 2017
- Backed by top investors including Balderton Capital and Goldman Sachs
- Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on 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 worth of financial products are held by big banks with dated systems and painful processes.
Join us if you want to:
- Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1
- Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
- Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting
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 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
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
Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.
Lead Data Scientist - Recommendation System in London employer: Lendable
Lendable is an exceptional employer, offering a dynamic work culture where innovation thrives and employees are empowered to make impactful decisions from day one. With a strong focus on employee growth, flexible working arrangements, and comprehensive health benefits, Lendable fosters a collaborative environment that encourages personal and professional development while being part of a rapidly growing fintech company that values its people and their contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist - Recommendation System in London
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Show us you’re genuinely interested in Lendable and how you can contribute to our mission of revolutionising fintech.
✨Tip Number 3
Practice your storytelling skills. Be ready to share your experiences and how they relate to the role. We love hearing about your journey and what makes you tick!
✨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 us you’re keen to join our team!
We think you need these skills to ace Lead Data Scientist - Recommendation System in London
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 at Lendable.
Showcase Your Impact:When detailing your past experiences, focus on the impact you've made in previous roles. Use metrics and examples to illustrate how your insights have driven product decisions or improved user engagement.
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and ensure your key achievements stand out. This will help us see your potential quickly!
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’re considered for the role. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Lendable
✨Know Your Data Science Stuff
Make sure you brush up on your data science techniques, especially around A/B testing and predictive modelling. Be ready to discuss how you've applied these in past roles, as Lendable is looking for someone who can drive product analytics and experimentation.
✨Understand the Product
Familiarise yourself with Lendable's Zable app and its user base. Think about how you would approach analysing user behaviour and engagement. Showing that you understand their product will demonstrate your genuine interest and help you stand out.
✨Prepare for Case Studies
Since the interview process includes a case study, practice structuring your thoughts and presenting data-driven insights clearly. Use real-world examples from your experience to illustrate your analytical thinking and problem-solving skills.
✨Communicate Effectively
Lendable values strong communication skills, so be prepared to explain complex data findings in simple terms. Think about how you can influence cross-functional teams with your insights, and practice articulating your ideas clearly and confidently.
