At a Glance
- Tasks: Uncover fraud patterns and deploy real-time models to protect our payments ecosystem.
- Company: Join Checkout.com, a leader in payment solutions with a high-impact team.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and security.
- Why this job: Make a real difference in securing transactions while enhancing user experience.
- Qualifications: Strong skills in Python, SQL, and MLOps are essential.
The predicted salary is between 60000 - 80000 £ per year.
Checkout. com is seeking a Fraud Data Scientist to join a high-impact team guarding our payments ecosystem.
You will own the end-to-end ML lifecycle, from uncovering fraud patterns to deploying scalable real-time models in production.
You will collaborate with Engineering, Product, and Risk Operations to balance strict security with a seamless user experience. Strong Python, SQL, and MLOps skills are essential.
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Real-Time Fraud Data Scientist employer: Checkout.com
Checkout.com is an exceptional employer that champions a flexible hybrid working model, allowing employees to balance their professional and personal lives effectively. With a strong emphasis on growth and collaboration, the company provides ample opportunities for career development while working alongside talented teams in the dynamic financial services sector in London. Joining Checkout.com means being part of a forward-thinking organisation that values compliance and innovation in payments and product regulation.
