Expression of Interest: Principal Data Scientist – ML, Gen AI Model Validation
Core
Independent technical review, challenge, and validation of complex ML, statistical, and GenAI models at scale to ensure they are fit for purpose and risks are controlled.
Role type
Principal Data Scientist (ML & GenAI Model Validation)
Builds
Independent validation streams, test harnesses, and evaluation pipelines for Group-wide AI models.
Domain
Fintech / Generative AI / Model Governance
Deliverable
production ML models
Required skills
ML/AI & statistics, GenAI & agentic systems, Python, R, TypeScript, PyTorch, AWS SageMaker, LangChain, LangGraph, OpenAI Agents SDK, Pydantic, Langfuse/HoneyHive, CI/CD, codebase navigation, test harness creation, trace data inspection
Preferred skills
Experience with transformer fine-tuning, agentic architecture validation, RAG pipelines, multi-agent routing, LLM-as-a-Judge
Technologies
PyTorch, AWS SageMaker, LangChain, LangGraph, OpenAI Agents SDK, Pydantic, Langfuse, HoneyHive, GitHub, Claude Code, Codex
Responsibilities
Design validation of complex ML and GenAI models at scale, shape model validation practices and standards, lead independent review and challenge of models across the Group
Seniority
Principal, technical leadership & independent judgement