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Model Validation Data Scientist
full-timeManchester, London, City of Edinburgh

Summary

Location

Manchester, London, City of Edinburgh

Type

full-time

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About this role

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.

You’ll communicate your findings and recommendations to stakeholders and advise on how model risk can be reduced or mitigated.

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

Hours

35

Job Posting Closing Date:

26/01/2026

Ways of Working:Hybrid

Other facts

Tech stack
Model Validation,Data Science,AI Models,Machine Learning,Python,Statistical Modelling,Large Language Models,Automation,Analytics,Research,Code Development,Model Governance,Team Management,Communication,Problem Solving,Technical Review

About RBS

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Team size: 1 employee
Industry: Banking

What you'll do

  • The Model Validation Data Scientist will review and independently validate AI models in accordance with bank policies. They will also design an evaluation framework for Gen AI models and communicate findings to stakeholders.

Ready to join RBS?

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Frequently Asked Questions

What does a Model Validation Data Scientist do at RBS?

As a Model Validation Data Scientist at RBS, you will: the Model Validation Data Scientist will review and independently validate AI models in accordance with bank policies. They will also design an evaluation framework for Gen AI models and communicate findings to stakeholders..

Why join RBS as a Model Validation Data Scientist?

RBS is a leading Banking company.

Is the Model Validation Data Scientist position at RBS remote?

The Model Validation Data Scientist position at RBS is based in Manchester, England, United Kingdom and London, United Kingdom. Contact the company through Clera for specific work arrangement details.

How do I apply for the Model Validation Data Scientist position at RBS?

You can apply for the Model Validation Data Scientist position at RBS directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.