Senior AML Data Scientist — GenAI & Global Risk Tech

Wise; Greater London; On-site; GBP 70,000 - 120,000; Full time

Job summary

Wise in London is seeking a skilled ML/AML engineer to help build detection systems at a global scale. You will develop AML risk detection frameworks using unsupervised, semi-supervised, and supervised learning, with GenAI.

You'll work in cross-functional teams, mentor junior colleagues, and optimize production Python services and data pipelines to balance precision and recall across diverse regions.

Qualifications

• Experience implementing, training, testing and evaluating performance of Machine Learning systems.
• Strong Python knowledge with object-oriented programming principles.
• Experience with statistical analysis and well-designed experiments.
• A strong product mindset and ability to work in a cross-functional environment.
• Good communication skills to convey complex ideas to non-technical stakeholders.

Responsibilities

• AML Risk Detection System Development across global regions.
• Mentor junior team members on technical and non-technical skills.
• Performance testing and optimisation of AML systems against benchmarks.
• Collaborate with operations to refine processes and data labelling for model improvement.
• Packaging algorithms into deployable libraries and maintaining production Python services.

Skills

Python

ML Systems

GenAI

OOP

Statistics

Job description

Wise in London is seeking a skilled ML/AML engineer to help build detection systems at a global scale. You will develop AML risk detection frameworks using unsupervised, semi-supervised, and supervised learning, with GenAI.

You'll work in cross-functional teams, mentor junior colleagues, and optimize production Python services and data pipelines to balance precision and recall across diverse regions.