About this role
Gradient Labs is hiring a Lead Product Data Scientist for their London office or remote within the UK, suiting professionals with significant senior-level data science experience in fast-moving tech environments. This position focuses on driving agent performance and delivering customer-facing analytics within the financial services sector.
Role Overview
The Lead Product Data Scientist role at Gradient Labs involves owning optimisation workflows from customer conversations to experiment delivery. Operating out of the London office or via UK remote work with occasional office visits, the professional in this position will directly influence the development of specialist AI agents for banking and fintech.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Founded in 2023, Gradient Labs builds an AI customer operations platform specifically for financial services, partnering with prominent banking and fintech brands. The team consists of builders from companies such as Monzo, Wise, Revolut, and Google, focusing on eliminating manual work through specialist agents.
How to Apply
Interested candidates should apply directly on the official Gradient Labs careers page.
Skills and tech stack
Questions candidates ask
Where is the job located?
The role is based out of the central London office with hybrid flexibility, or available as remote within the UK with an expectation to visit the office at least once a week.
What technical skills are required?
Applicants must be fluent in SQL and Python, skilled at building robust data pipelines, and possess a strong understanding of statistical methods.
What is the interview process like?
The process includes a talent screen, a first stage interview with the founding data scientist, a take-home task, a task deep dive with the CTO and founding data scientist, and a final interview with the CEO or chief scientist.
What benefits are included?
Benefits include private medical and dental insurance, 25 days of holiday plus bank holidays (or 32 days without bank holidays), equity, team socials, and offsites.