Senior AI Data Scientist - AML Handling

Requirements:

• Experience implementing, training, testing and evaluating performance of Machine Learning systems
• Strong Python knowledge. A big plus for proven familiarity and experience with OOP principles
• Knowledge and experience developing GenAI solutions
• Experience with statistical analysis, and ability to produce well-designed experiments
• A strong product mindset with the ability to work independently in a cross-functional and cross-team environment
• Good communication skills and ability to get the point across to non-technical individuals
• Strong problem-solving skills with the ability to help refine problem statements and figure out how to solve them

Nice to haves:

• Familiarity with automating operational processes via technical solutions, for example Large Language Models
• Experience implementing fine-tuning, reinforced learning alignment and evaluation techniques within an LLM training pipeline
• Familiarity with agentic frameworks such as LangGraph or similar
• Willingness to get hands dirty reading many, many historical operational cases

What you'll be doing:

• End-to-End Automation: Lead the development and deployment of AI models designed to augment operational workflows
• Full-Stack Deployment: Take ownership of the production pipeline by writing and deploying production-ready Python services
• Human-in-the-Loop Architecture: Design systems where AI provides recommendations and drafts
• Rigorous Testing & Governance: Establish comprehensive testing frameworks for production environments
• Strategic Demand Deflection: Analyze upstream data to create strategies that deflect financial crime attempts
• Mentorship & Leadership: Mentor other Junior Data Scientists

Perks and benefits: