About the job
About Lendable
Lendable is dedicated to revolutionizing technology that empowers individuals to access credit and save money. We are rapidly establishing ourselves as one of the foremost fintech companies globally, achieving remarkable milestones:
- Recognized as one of the UK's newest unicorns with a vibrant team of over 700 innovators.
- Ranked among the fastest-growing tech enterprises in the UK.
- Profitable since 2017.
- Supported by esteemed investors, including Balderton Capital and Goldman Sachs.
- Highly rated by customers, boasting a 4.9-star rating across thousands of reviews on Trustpilot.
To date, we have redefined the Big Three consumer finance products: loans, credit cards, and car finance. Our innovative approach allows us to deliver funds to our customers in minutes rather than days.
As we continue to expand, we are targeting the two largest Western markets (UK and US), which hold trillions of dollars in financial products managed by legacy banks with outdated systems and cumbersome processes.
Join Us If You Want To
- Take ownership of a diverse range of responsibilities, making impactful decisions that shape the future of Lendable from day one.
- Collaborate in small teams of exceptional talent, consistently finding smarter solutions to complex challenges.
- Develop cutting-edge technology in-house, leveraging new data sources, machine learning, and AI to streamline processes.
About the Role
We are thrilled to announce an opening for a Senior Data Scientist to join our team! This role is ideal for individuals with a strong background in building predictive models, particularly in credit, lending, or related financial services sectors. As a leader in real rate risk-based pricing, Lendable provides consumers with unparalleled transparency and assurance at the application stage. Data Science is central to our unique selling proposition, as we develop credit risk models to underwrite loan and credit card offerings.
You will have the opportunity to work with the latest machine learning techniques and access a wealth of rich data resources to drive our analytics efforts forward.

