Expression of Interest: Principal Data Scientist – ML, Gen AI Model Validation
Core
Independent technical review, challenge, and validation of complex ML, GenAI, and agentic systems at scale to ensure they are fit for purpose and risks are controlled.
Role type
Principal Data Scientist (ML & Gen AI Model Validation)
Builds
Independent validation streams, test plans, 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, test harness development, codebase navigation
Preferred skills
Experience with transformer fine-tuning, agentic architecture, LLM-as-a-Judge, multi-agent routing, memory/persona handling, RAG pipelines
Technologies
PyTorch, AWS SageMaker, LangChain, LangGraph, OpenAI Agents SDK, Pydantic, Langfuse, HoneyHive, GitHub, Claude Code, Codex
Responsibilities
Design validation of complex ML and Gen AI Models at scale, Shape model validation in collaboration with Data Science, Engineering and Governance stakeholders, Drive and lead best validation practices, tooling and standards
Seniority
Principal, technical leadership & independent judgement