About this role
The Data Scientist (AI) position at Lendable in London is an applied engineering role that suits professionals with strong Python and machine learning skills who want to build production-grade automation systems. This position involves combining software engineering, process design, and machine learning to develop internal AI tools that handle customer chats, document parsing, and case management workflows.
Role Overview
The Data Scientist (AI) role focuses on building in-house technology using machine learning, AI, and new data sources. Located in London, the position involves working with small teams to tackle loosely defined problems, test hypotheses rapidly, and turn successful concepts into reliable services.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Lendable operates as a fintech company focused on consumer finance products such as loans, credit cards, and car finance. The organization employs over 800 people, maintains profitability, and is backed by investors including Balderton Capital and Goldman Sachs.
How to Apply
Interested candidates should apply directly on the official Lendable careers page.
Skills and tech stack
Questions candidates ask
Where is the Data Scientist (AI) position located?
The role is based in London, featuring a hybrid working model that requires three days in the office weekly.
What programming language is used in this role?
The position involves hands-on Python development.
What kind of systems will the Data Scientist build?
The role involves building and improving AI chatbots, document extraction pipelines, voice AI trials, and LLM-driven case management workflows.
What does the interview process consist of?
The interview process includes an introductory call, a take-home exercise, a take-home debrief, a case study, and an onsite final interview.
What benefits are available for this role?
Benefits include private health coverage, retirement savings plans, flexible and hybrid working options, cycle-to-work schemes, and complimentary lunches on in-office days at select locations.
