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- Tasks: Validate AI models and develop evaluation frameworks in a dynamic banking environment.
- Company: Join an innovative bank with a vibrant team focused on model risk.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by ensuring the integrity of cutting-edge AI models.
- Qualifications: Strong background in machine learning, Python proficiency, and experience with LLMs.
- Other info: Collaborative culture with opportunities for training and development.
The predicted salary is between 36000 - 60000 £ per year.
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 to 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 DoThis 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
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
Model Validation Data Scientist in Manchester employer: NatWest Group
Contact Detail:
NatWest Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Model Validation Data Scientist in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with AI and machine learning models. This could be anything from GitHub projects to case studies that highlight your problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our innovative team.
We think you need these skills to ace Model Validation Data Scientist in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI and machine learning models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Model Risk Data Scientist position and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: Since we’re looking for someone proficient in Python and data science libraries, make sure to mention any specific tools or frameworks you’ve worked with. Highlighting your practical experience with Large Language Models will definitely catch our eye!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at NatWest Group
✨Know Your Models Inside Out
Make sure you’re well-versed in the AI and machine learning models relevant to the role. Brush up on your understanding of model validation techniques and be ready to discuss specific examples from your past experience. This will show that you not only know the theory but can also apply it practically.
✨Showcase Your Coding Skills
Since proficiency in Python and data science libraries is crucial, prepare to demonstrate your coding skills during the interview. You might be asked to solve a problem or review some code, so practice common data science tasks and be ready to explain your thought process clearly.
✨Communicate Clearly and Confidently
You’ll need to communicate findings and recommendations effectively, so practice explaining complex concepts in simple terms. Use examples to illustrate your points and ensure you can articulate how your work impacts model risk management and decision-making.
✨Stay Updated on Industry Trends
Research the latest developments in large language models and AI evaluation methods. Being able to discuss current trends and challenges in the field will demonstrate your passion and commitment to staying at the forefront of the industry, which is something they’ll value highly.
