Lead Data Scientist – Agentic AI / AML

Overview

As Lead Data Scientist in AML Handling & Prevent, you will shape AI-driven anti-financial crime workflows at Wise. You’ll architect and deploy robust AI systems that automate and accelerate review processes while reducing risk across the global operation. You’ll lead technical strategy, mentor teammates, and ensure safe, scalable AI implementations with strong governance. This role combines cutting-edge GenAI/LLMs with practical production delivery to protect customers and enable faster, compliant decision making. You’ll work closely with cross-functional partners to drive measurable impact on financial crime mitigation.

Pay / Benefits

• Stock options
• Hybrid working model
• Annual personal development budget
• Visa and relocation support

Responsibilities

• Lead end-to-end AI automation for AML workflows, including EDD LLMs and case-related tasks
• Create evaluation frameworks and labeling taxonomies with domain SMEs
• Optimize prompts and run structured experiments to reduce hallucinations and drift
• Design agentic AI systems that reason across steps and integrate tools safely
• Plan shadow testing and post-deployment monitoring for data and output drift
• Own production Python services and ensure rapid, quality delivery
• Implement human-in-the-loop patterns to keep final decisions with humans
• Develop strategies to deflect financial crime upstream, reducing workload
• Provide technical leadership and mentorship across the data science team

Key requirements

• Experience implementing, training, testing and evaluating ML/LLM systems
• Strong Python knowledge (OO a plus)
• Hands-on GenAI/LLM exposure (prompt engineering, evaluation, workflows)
• Experience with GenAI/LLM evaluation frameworks and automated eval harnesses
• Statistical analysis, experiment design, and failure mode analysis in ML/LLM
• Product mindset with ability to work independently in cross-functional teams
• Excellent communication with both technical and SME audiences
• Strong problem-solving skills to refine problem statements

• communication
• problem solving
• cross-functional collaboration
• Python
• GenAI / LLM solutions
• prompt engineering

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