Principal Data Scientist
Core
Design and deliver transformative AI solutions to detect, deter, and eliminate financial crime through GenAI, agentic systems, and machine learning models.
Role type
Principal Data Scientist (Financial Crime)
Builds
GenAI and Agentic systems, production ML models, and AI-driven detection solutions for financial crime prevention.
Domain
Banking / Financial Crime / Artificial Intelligence
Deliverable
production ML models
Required skills
Generative AI design and deployment, Machine Learning model development, Prompt engineering, RAG, LangChain, LangGraph, NLP, Unsupervised clustering, Feature engineering, Hyperparameter tuning, CI/CD pipelines, Python, TensorFlow, PyTorch, SQL, AWS or Azure Cloud architecture, Docker, ETL processes.
Preferred skills
Experience with agentic AI, Data pipeline construction, Cross-functional technical leadership.
Responsibilities
Prototype, design, develop, deploy, and monitor GenAI and Agentic solutions; Design and implement machine learning models; Identify AI opportunities across Fin Crime; Work with stakeholders to drive adoption of AI for detection and investigation.
Seniority
Principal, hands-on technical leader
