Staff Data Scientist - AML

Requirements:

• 5+ years of experience developing and deploying AI systems in financial risk or fraud domains
• Proficiency in Python, neural networks, TensorFlow or PyTorch, and AI agent frameworks
• Data-driven mindset and experience with big-data frameworks
• Technical leadership and mentorship skills
• Excellent communication skills

What You'll Be Doing:

• Lead the development and deployment of machine learning models
• Mentor team members and promote AI workflows for automation
• Develop scalable deployment strategies and integrate AI agents
• Conduct training, hyperparameter tuning, and define performance metrics
• Design data strategies for model training and communicate findings effectively

Nice to Haves:

• Experience with deep learning models and big-data frameworks
• Ability to simplify complex technical concepts for different audiences
• Product mindset with cross-functional collaboration skills

Perks and Benefits:

• Unique opportunity to work behind company transactions
• Develop risk detection and assessment for regional typology understanding
• Direct impact on Wise's mission and millions of customers
• Work with cutting-edge machine learning and real-time transaction monitoring
• Collaborate with software engineers, data analysts, and compliance specialists