At a Glance
- Tasks: Lead advanced optimisation projects and design scalable ML architectures for payment flows.
- Company: Checkout.com, a leader in payment solutions with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a strong focus on model explainability.
- Why this job: Shape the future of payments with cutting-edge machine learning technologies.
- Qualifications: Experience in data science, Python, and multi-objective optimisation.
The predicted salary is between 60000 - 75000 £ per year.
Checkout. com is seeking an experienced Senior Data Scientist to lead advanced optimisation projects and shape robust ML architectures that improve payment flows.
You will work with senior peers to design scalable models and production-grade Python tools, driving multi-objective optimisation across complex systems.
The role emphasizes collaboration with product stakeholders, distributed data processing using Spark/Dask, and strong emphasis on model explainability.
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Senior Data Scientist — Multi-Objective ML Architect (Hybrid) in London 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.
