Lead Product Data Scientist | Lendable · Teeming.ai
Lendable
Lendable is a lending platform that makes borrowing money effortless across loans, credit cards and car finance.
Using technology, we have trimmed the fat from the traditional loan application…
Lendable is a lending platform that makes borrowing money effortless across loans, credit cards and car finance.
Using technology, we have trimmed the fat from the traditional loan application…
Headquarters / Registration: United Kingdom (Lendable Ltd, company number 08828186)
Products: Personal loans, credit cards, car finance (digital platform)
Regulation: Authorised and regulated by the UK Financial Conduct Authority (FCA)
Total funding (reported): USD 291,450,000
Company Overview
Problem Domain
Consumer finance — improving speed, accessibility and transparency of loan issuance through technology.
Founded
2014
Industry
Financial Services
Funding Track Record
Seed- December 2014
£2.5M
Reported seed equity raise in December 2014
- 2021
$49M
Reported close of $49M from impact and development investors
Investor Signal
“Received investment from impact and development investors (examples reported include DFC, EMIIF/DFAT, Calvert Impact Capital, Ceniarth, BIO, FMO, FSD Africa and listings naming the Belgian Investment Company for Developing Countries)”
Founders
What we do
Join the Team
Lead Product Data Scientist
On-SiteLondon, GB
On-Site • London, GB
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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
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
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-drive insights
Excellent communication skills with experience influencing cross-functional stakeholders and product leaders
Experience in product analytics
Experience in fintech or financial services products
What the job involves
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
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
The application process
Screening call with a recruiter
Take home task
Task Debrief
Case study Interview
Final Interviews
Benefits
💸 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 (hybrid)
🍲 Our in-house chefs prepare fresh, healthy lunches in the office every Tuesday-Thursday
🏥 Comprehensive private health insurance (including dental, optometry and general wellbeing)
🚗 EV car scheme (Octopus)
🚲 Cycle to work scheme
🧮 Pension
🌴 25 days of annual leave - excluding bank holidays
🎊 Multiple opportunities to socialise with your team and the wider company
🏋️♀️ 50% off gym memberships at Virgin Active and Nuffield (via Vitality health insurance)
💻 Equipment provided for you to do your best work!
