Data Scientist - ML Research & Production for Payments

Data Scientist - ML Research & Production for Payments

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Checkout Ltd

At a Glance

  • Tasks: Advance ML models to enhance payment performance for our merchants.
  • Company: Checkout.com, a leading payments company in the UK.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career development.
  • Why this job: Join a dynamic team and make a real impact on payment solutions.
  • Qualifications: Experience in data science, machine learning, and Python programming.

The predicted salary is between 60000 - 80000 £ per year.

Checkout. com in the United Kingdom is seeking a Data Scientist to advance ML models and estimators that boost payment performance across our merchants portfolio.

You will collaborate with Data Scientists, Product, and Engineering to deploy robust features and maintain observability for safe model launches.

You will design experiments, handle time‑based data leakage, and communicate results clearly, leveraging Python for model training and productionizing features across core products.

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Data Scientist - ML Research & Production for Payments employer: Checkout Ltd

Checkout Ltd is an exceptional employer that fosters a dynamic and inclusive work culture, where collaboration and innovation thrive. With a strong focus on employee growth, the company offers ample opportunities for professional development while embracing a hybrid working model that promotes flexibility. Located in London, employees benefit from a vibrant city atmosphere, making it an ideal place for those seeking meaningful and rewarding careers in the legal field.

Checkout Ltd

Contact Details:

Checkout Ltd Recruitment Team

We think you need these skills to ace Data Scientist - ML Research & Production for Payments

Python
SQL
Problem-Solving Skills
Communication Skills
Automation
Data Pipeline Development
Data Engineering