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Director, Data Science - Payment Performance

checkout.comLondonAll Departments
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Salary
Not listed
Job type
Full-time
Experience
Director
Posted
9 Oct 2026
Status
Open · checked 7d ago

About this role

Director, Data Science - Payment Performance is a full-time leadership role based at the London headquarters of Checkout.com, operating on a hybrid model. This position suits an experienced data science leader who can unite distributed teams to drive real-time decisioning and machine learning at a global payments scale.

Role Overview

Director, Data Science - Payment Performance leads the Fraud and Acceptance Data Science teams under a single strategy at Checkout.com in London. The position involves combining existing teams, elevating model development standards, and ensuring measurable production impact for global digital payments. This is a player-coach role requiring direct technical guidance alongside organizational leadership.

Key Responsibilities

Create a unified Data Science strategy across fraud and payment optimization tied to the wider Payment Performance vision.
Own the end-to-end model lifecycle from problem framing and experimentation to production performance.
Jointly prioritize the roadmap with Fraud and Intelligent Acceptance Group Product Managers.
Lead, coach, and develop Data Scientists across Fraud and Acceptance within a distributed organization.
Act as a technical sounding board for senior scientists across modelling, experimentation, and ML-system design.

Requirements

A strong record of leading Data Scientists building real-time or high-scale machine-learning products.
Deep technical judgment across applied machine learning, experimentation, model evaluation, and production ML systems.
Experience taking models beyond notebooks and offline metrics into reliable products with measurable business impact.
Proven success leading distributed teams through change, ambiguity, and growth.
Strong product judgment connecting scientific work to customer problems, commercial trade-offs, and company strategy.

Nice to Have

Experience in payment fraud, authorization optimization, routing, recommendations, or another real-time decisioning domain.
Knowledge of highly imbalanced classification, anomaly detection, graph methods, reinforcement learning, or adaptive optimization.
Experience building low-latency models in regulated or financially sensitive environments.
Familiarity with causal inference, online experimentation, and measuring incremental model impact.
Experience developing first-line managers or technical leads within a growing Data Science organization.

Skills and Tools

Machine Learning
Applied AI
Experimentation and Online Experimentation
Model Evaluation and Production ML Systems
Fraud Detection and Authorization Optimization
Causal Inference

About the Company

Checkout.com powers digital payments for global brands such as eBay, Spotify, Klarna, Uber, and Sony. Headquartered in London with 20 offices across six continents, the company enables over 10 billion transactions yearly for more than one billion global shoppers.

How to Apply

Candidates should apply on the official Checkout.com careers page.

Skills and tech stack

Reinforcement LearningMachine Learning

Questions candidates ask

Where is this role located?

This role is based in London at the Checkout.com headquarters and follows a hybrid working model.

Will I need to manage people in this position?

Yes, this is a leadership and player-coach role where you will initially manage much of the team directly, coach data scientists, and develop future domain leads.

Who does this role report to?

The role reports to the Senior Director, Product.

What teams will I be leading?

You will lead distributed Data Science teams across Fraud and Acceptance, working alongside colleagues in Europe and Tel Aviv.

Ready to apply?

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

Apply on company site