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Product Data Scientist

checkout.comLondonAll Departments
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Salary
Not listed
Job type
Full-time
Experience
Mid
Posted
21 Sept 2026
Status
Open · checked 7d ago

About this role

Product Data Scientist is an open position at Checkout.com located in London, which suits a professional with background in product analytics and data science seeking a hybrid role in the fintech sector.

Role Overview

Checkout.com is hiring a Product Data Scientist to join the London headquarters on a full-time basis with a hybrid working model requiring three days in the office weekly. The role sits within a cross-functional setup alongside product managers, designers, software engineers, and analytics engineers. The focus centers on the Platforms and SMB domain, specifically optimizing merchant onboarding and scaling predictive automation.

Key Responsibilities

Build experiments and analysis frameworks to measure operational efficiency and ROI for software releases and internal tooling updates within the Platforms and SMB domain.
Partner with data analytics and software engineers to ensure proper data logging and modeling for business insights.
Apply statistical modeling and exploratory data analysis to detect bottlenecks and drop-off points in the merchant onboarding journey.
Deliver insights that assist product managers in prioritizing automation initiatives.
Design and execute proof-of-concept machine learning models and heuristic solutions to evaluate onboarding automation feasibility before engineering handoff.
Define product success metrics and run insights to find product improvement opportunities.

Requirements

Proven background in similar data science or product analytics roles within a high-growth technology environment.
Strong data interrogation capabilities utilizing SQL.
Ability to write, read, and iterate through Python scripts for data science analyses.
Foundational knowledge in data science concepts including statistics, clustering, and basic natural language processing workflows without requiring production deployment experience.
Analytical mindset capable of translating operational challenges into structured, data-informed solutions.
Clear communication skills to explain analytical logic and insights to non-technical stakeholders such as product managers and operations teams.

Skills and Tools

SQL
Python
Statistical Modeling
Machine Learning
Natural Language Processing
Data Analytics

About the Company

Checkout.com serves as a global payment solutions provider processing transactions for major digital brands worldwide. Operating with 20 offices across six continents, the organization maintains its global headquarters in London and powers digital payments behind the scenes for digital commerce, subscriptions, and services.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

Questions candidates ask

What is the location of the Product Data Scientist role?

The position is based at the Checkout.com headquarters in London.

What is the working model for this position?

The role follows a hybrid working model requiring three days per week in the office.

What programming languages are required?

The role requires strong SQL skills and the ability to read, write, and iterate through Python scripts.

Do I need experience deploying machine learning models to production?

No, production deployment experience is not required, though foundational knowledge of machine learning concepts and application is necessary.

What business area does this role support?

The role focuses on the Platforms and SMB domain, supporting Activation, Risk, and Configuration products.

Ready to apply?

The application is on the official checkout.com careers page.

Apply on company site