Model Validation Data Scientist at RBS

City of Edinburgh, Scotland, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

24 Apr, 26

Salary

0.0

Posted On

24 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

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

Industry

Banking

Description

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

Responsibilities

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.