At a Glance
- Tasks: Drive product analytics and shape user experience for our Zable app used by over 1 million customers.
- Company: Join Lendable, a fast-growing fintech unicorn transforming credit and savings.
- Benefits: Flexible working, health coverage, retirement plans, and social events to connect with your team.
- Other info: Be part of a winning team with excellent career growth opportunities.
- Why this job: Make a real impact in a high-growth environment using cutting-edge data science techniques.
- Qualifications: 4+ years in data analytics, strong SQL and Python skills, and experience in A/B testing.
The predicted salary is between 60000 - 80000 € 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 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
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.
Senior Product Data Scientist in London employer: hackajob
Lendable is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to make impactful decisions from day one. With a strong focus on employee wellbeing, flexible working arrangements, and opportunities for professional growth, Lendable fosters a collaborative culture that values creativity and resourcefulness. Join us in shaping the future of fintech while enjoying competitive benefits and a supportive community in a rapidly growing company.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Lendable on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Prepare for the interview by diving deep into Lendable's products. Understand their Zable app inside out, and think about how your skills can enhance user experience. Show them you mean business!
✨Tip Number 3
Practice your storytelling skills. Be ready to share specific examples of how you've used data to drive decisions in past roles. Make it relatable and impactful—this is your chance to shine!
✨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 you’re serious about joining the team.
We think you need these skills to ace Senior Product Data Scientist in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Product Data Scientist role. Highlight your experience in data analytics, especially in product-led environments, and show how your skills align with what we're looking for at Lendable.
Showcase Your Impact:When detailing your past experiences, focus on the impact you've made. Use specific examples of how your insights shaped product strategies or improved user experiences. We love seeing how you've driven results!
Be Clear and Concise:Keep your application clear and to the point. Avoid jargon and make sure your key achievements stand out. We appreciate straightforward communication that gets right to the heart of your qualifications.
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 hackajob
✨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 previous roles. Prepare examples of how your insights have driven product decisions.
✨Master the Art of Experimentation
Since you'll be owning the A/B testing process, make sure you can articulate your approach to experimental design and analysis. Be prepared to discuss past experiments you've conducted, the methodologies you used, and how you interpreted the results to influence product strategy.
✨Communicate Like a Pro
Strong communication skills are key for this role. Practice explaining complex data findings in simple terms, as you’ll need to influence cross-functional teams. Think of examples where your insights led to actionable changes and be ready to share those stories.
✨Show Your Strategic Thinking
Lendable is looking for someone who can challenge assumptions and provide data-driven perspectives. Prepare to discuss how you've shaped strategic discussions in the past. Think about how you can apply your analytical skills to identify growth opportunities and friction points in user behaviour.
