Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Model Risk Data Scientist

NatWest Group
City of London
3 days ago
Create job alert

Join us as a Model Risk Data Scientist



  • If you have experience building and validating 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 models used in the bank, and working with model development teams to continually drive up the value generated by data-driven modelling

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 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
  • Support the development of a validation framework for Gen AI models across the bank
  • Reviewing your colleagues’ analysis, code and reports

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 AI models particularly LLMs
  • The ability to extract the essential ideas underlying technical results and explain them in terms of their practical consequences
  • Excellent technical and communication skills
  • The ability to deal with ambiguity and to work autonomously


#J-18808-Ljbffr

Related Jobs

View all jobs

CREDIT RISK DATA SCIENTIST

Senior Data Scientist

Data Scientist - Statistician

Data Scientist - Statistician

Risk Management – Data Scientist / Applied AI ML Lead - Vice President

Senior Risk Modelling Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.