Data Scientist

The role

You will discover, design, and experiment with new estimators, models and features to boost payment performance. You will work with Data Scientists, Product and Engineering to enhance core offerings and ensure safe model launches.

What you will do

• Contribute to the research and development of new ML models and estimators to boost core Acceptance Rate performance.
• Design and implement experiments to produce actionable insights.
• Manage time-based data leakage and ensure robust model evaluation.
• Collaborate with other Data Scientists and engineers to productionise ML features, models and evolve evaluation and monitoring frameworks.
• Write high-quality, interpretable Python code for feature engineering and model training.
• Communicate hypotheses, evaluation results, and monitoring dashboards to technical and non-technical audiences.

Required qualifications

• 3+ years of experience developing machine learning models to solve business problems.
• Strong understanding of supervised ML algorithms, tuning, and performance evaluation.
• Experience with a range of feature engineering techniques (e.g. target encoding).
• Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation.
• Experience in writing clean, production-grade Python code for both model training and inference.
• Excited to leverage LLMs for coding support and process optimisation.

Nice to have

• Experience with advanced data transformation techniques (e.g. lambda functions).
• Familiarity with, or hands-on experience in recommender systems, contextual bandits, or network intelligence applications.
• Experience in fintech, payments, or building cross-disciplinary relationships for advice and guidance.
• Familiarity with the unix shell, Databricks, Docker, and common cloud platforms (GCP/AWS).

About the company

Checkout.com is a fintech company that enables over 10 billion transactions yearly for more than one billion global shoppers. They have 20 offices across six continents with London as their HQ.