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: