Senior Modelling Data Scientist, Vice President

BlackRock UK

London, United Kingdom
On-site
Llm-based systems
Agent-style workflows
Retrieval-augmented generation (rag)
This is primarily an individual contributor role, with responsibility for owning end-to-end ownership of complex modelling / AI problem areas and technical ownership of AI capabilities critical to the product

Job Summary

  • This is primarily an individual contributor role, with responsibility for owning end-to-end ownership of complex modelling / AI problem areas and technical ownership of AI capabilities critical to the product.
  • The role focuses on the research, prototyping, evaluation, and improvement of AI solutions, with hands-on work across LLM-based systems, including agent-style workflows and retrieval-augmented generation (RAG) where appropriate.
  • BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all.

Matching Summary

This is primarily an individual contributor role, with responsibility for owning end-to-end ownership of complex modelling / AI problem areas and technical ownership of AI capabilities critical to the product.

Skills & Requirements

Must-have

  • LLM-based systems
  • agent-style workflows
  • retrieval-augmented generation (RAG)
  • end-to-end AI solution ownership
  • Python for analysis and modelling
  • SQL for data exploration
  • Git for version control

Nice-to-have

  • financial domain exposure
  • software engineering best practices
  • Azure cloud environment experience
  • Snowflake data stack familiarity

Key Requirements

  • 6+ years of experience
  • Strong mathematical, statistical, and machine learning foundations
  • Proven ability to select, apply, and critically evaluate ML models
  • Strong English communication skills

Work Rights

Not specified

Tailored Resume

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