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Model Validation Data ScientistNatWest GroupManchester, England, United Kingdom
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Model Validation Data Scientist

NatWest Group
  • GB
    Manchester, England, United Kingdom
  • GB
    Manchester, England, United Kingdom
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About

Join us as a Model Risk Data Scientist
If you have experience building and validating AI and machine learning models, this is a fantastic opportunity join our innovative, vibrant team in our Risk function
You’ll be performing technical reviews and oversight of AI models used in the bank, whilst working with model development teams
What you’ll do This Model Risk Data Scientist role will see you reviewing and independently validating assigned models in accordance with the bank’s policies and model standards. You’ll be responsible for designing and developing an evaluation framework for Gen AI and agentic AI models.
As well as this, you’ll be developing solutions for automating validation activities while understanding model and data usage, quality and interdependencies across the bank.
Your role will also involve:
Developing the team’s analytics codebase, adding functionality, fixing issues and testing code
Conducting research on latest LLM evaluation methods based on use case specific challenges
Contributing to the development of an efficient and scalable evaluation package to be used by the independent validation function
Reviewing your colleagues’ analysis, code and reports
Representing the team at model governance forums and other meetings
Assisting the leadership team with managing the team’s tasks and workflow and helping your team with their training and development
The skills you’ll need We’re looking for someone with an excellent grasp of mathematical methods, concepts and assumptions that underpin machine learning, statistical modelling and artificial intelligence.
You’ll also need:
A proficiency in Python and libraries commonly used for data science, such as Linux WSL and AWS Sagemaker
Practical experience building and validating Large Language Models
The ability to extract the essential ideas underlying technical results and explain them in terms of their practical consequences
The ability to deal with ambiguity and to work autonomously
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  • Manchester, England, United Kingdom

Languages

  • English
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