Staff Data Scientist - AML

Salary: £66,000 - 106,000 per year

Requirements:

• Demonstrated expertise (5+ years) in developing and deploying production-grade AI systems and machine learning in financial risk or fraud domains.
• Skilled in Python and capable of delivering production-ready Python services.
• Hands-on experience with neural networks and deep learning models.
• Comprehensive knowledge of machine learning frameworks such as TensorFlow or PyTorch.
• Experience with AI agent frameworks such as LLamaIndex and LangGraph.
• Well-versed in LLM orchestration and MCP usage.
• Skilled in designing data strategies, including data collection, curation, and augmentation, to support model development.
• Experience with big-data frameworks and working with large-scale databases.
• Demonstrated ability to guide, mentor, and level up teams on technical aspects.
• Excellent communication skills with the ability to simplify complex technical concepts and adapt communication style to different audiences.
• Strong product mindset and the ability to work independently in a cross-functional and cross-team environment.

Responsibilities:

• Lead the development and deployment of machine learning models, including neural networks, anomaly detection, graph-based models, and Transformers.
• Design and build modular detection systems that detect red flags and typologies across different regions where we operate.
• Mentor team members and promote the adoption of AI workflows for automation across the business.
• Collaborate with cross-functional teams to integrate data science solutions into AML detection product offerings.
• Develop scalable deployment strategies together with Platform teams and integrate LLMs with AI agents for seamless production use.
• Conduct large-scale training and hyperparameter tuning, and define performance metrics to ensure high-quality model outputs.
• Design and implement strategies for data collection, curation, and augmentation to support robust model training.
• Communicate complex data findings to non-technical stakeholders effectively.
• Document the development and maintenance processes for models and features.

Technologies:

• AI
• AI Agents
• Support
• LLM
• Machine Learning
• MCP
• Model Training
• PyTorch
• Python
• TensorFlow
• Network

More:

We are Wise, a global technology company on a mission to make moving and managing money easier and cheaper for everyone, everywhere. We are looking for a Staff Data Scientist to join our growing AML team in London, where you will help safeguard our platform against financial crime while supporting seamless service for legitimate customers. You will work alongside software engineers, data analysts, data scientists, compliance specialists, and AML investigators to improve our machine learning-driven detection systems and strengthen our global AML prevention and detection engine. We offer stock options in a profitable company, a hybrid working model, an annual personal development budget, and visa and relocation support. We are proud of our diverse, equitable, and inclusive international team.

last updated 35 week of 2026