Principal Lead Data Scientist / Applied AI
Core
Principal Data Scientist leading Applied AI innovation, GenAI evaluation, and the development of production LLM and agentic systems for strategic banking use cases.
Role type
Principal Lead Data Scientist / Applied AI
Builds
Production ML pipelines, LLM-based solutions, agentic systems, and backend services for Commercial Banking, CIB, and Finance.
Domain
Banking / Generative AI / Large Language Models
Deliverable
production ML models
Required skills
Machine Learning Engineering, GenAI evaluation, LLM fine-tuning, Agentic system design, MLOps, Cloud infrastructure (AWS/GCP), Python, Data pipeline construction, A/B testing methodology
Preferred skills
International leadership, Multi-country experience, TypeScript/Node.js, On-premise environments, Banking sector experience
Technologies
LangGraph, Agents SDK, AWS Strands, Python, TensorFlow, AWS, GCP, CloudFormation, Git, CI/CD
Responsibilities
Select and evaluate foundational models for language, voice, and multimodal applications; Design and develop LLM solutions and agentic architectures; Build reasoning flows and model orchestration; Develop inference pipelines and backend services; Communicate technical concepts to non-technical audiences.
Seniority
Principal, hands-on IC with team management