Data Science Manager — Payments ML Lead (Hybrid)

Checkout; Greater London; Híbrido; GBP 90.000 - 140.000; Jornada completa

Descripción de la vacante

Checkout.com in London is seeking a Data Science Manager for the Payments Performance pillar. You will lead a team of data scientists and ML engineers who build and optimize our real-time payment solutions, translating complex problems into clear roadmaps.

You will collaborate with engineering, analytics, operations and product, mentor talent, and drive high-impact decisions with autonomy in a fast-paced fintech environment.

Formación

• At least 2 years of direct management experience leading data science and ML teams in a complex domain.
• Strong background as a Data Scientist with 5+ years of proven experience.
• Experience building and shipping ML systems and data products at scale.
• Excellent cross-functional collaboration and communication.
• Ability to make hard decisions and trade-offs with autonomy.
• PhD or MS in quantitative field is a plus.

Responsabilidades

• Drive roadmap and priorities for your team, and work with many leaders across the company to enhance our ability to deliver best‑class performance, through ML.
• Build the brain behind mission‑critical products that make real‑time decisions during the payment processing flow.
• Collaborate with stakeholders across the organization such as engineering, analytics, operations and product.
• Manage a high‑performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.

Conocimientos

Data science management

Machine learning

Cross-functional leadership

Communication skills

Autonomy and ownership

Educación

PhD or MS in quantitative field

Descripción del empleo

Checkout.com in London is seeking a Data Science Manager for the Payments Performance pillar. You will lead a team of data scientists and ML engineers who build and optimize our real-time payment solutions, translating complex problems into clear roadmaps.

You will collaborate with engineering, analytics, operations and product, mentor talent, and drive high-impact decisions with autonomy in a fast-paced fintech environment.