Join us as a Data Scientist, Economic Crime Hub
- You’ll design and implement data science tools and methods which harness our data that use our data to prevent fraud and scams, reduce customer harm and financial losses, and improve the accuracy and efficiency of fraud decisioning
- We’ll look to you to actively participate in the Fraud, Engineering and Data community to identify and deliver opportunities to support the bank’s strategic direction through better use of data
- This is an opportunity to promote data literacy education with business stakeholders supporting them to foster a data driven culture and to make a real impact with your work
What you'll do
As a Data Scientist, you’ll combine statistical analysis, machine learning, generative AI and software engineering to develop practical, responsible solutions to fraud and scam challenges. You’ll work with fraud stakeholders and customer teams to understand their needs, form clear hypotheses and identify data-led solutions that improve fraud detection, reduce false positives, support timely intervention and deliver measurable fraud prevention and operational.
You’ll also be:
- Working with fraud stakeholders to translate fraud and scam challenges into clear analytical questions and measurable outcomes
- Applying a software engineering and product development practices to build reusable pipelines, test changes, and deploy scalable solutions in an Agile environment
- Selecting, building, training and testing machine learning models, fraud strategies and AI applications, balancing fraud detection and business value with customer impact, operational capacity, model risk and ethical considerations
- Monitoring internal and third-party fraud models for performance, data quality, drift and business effectiveness, recommending corrective action where needed
- Investigating emerging fraud patterns, unusual alerts and missed fraud events, turning findings into practical improvements and maintaining clear evidence for governance, audit and regulatory review
The skills you'll need
You’ll need a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. You’ll have experience with statistical modelling and machine learning techniques applied to fraud or other complex risk problems involving rare events.
You’ll also demonstrate:
- The ability to use data to solve business problems from hypotheses through to resolution
- Experience using programming language and software engineering fundamentals
- Experience of Cloud applications and options
- Experience in synthesising, translating and visualising data and insights for key stakeholders
- Experience in model monitoring, model-risk governance and documenting analytical decisions for review and challenge is desirable.
- Knowledge of how Large Language Models and agentic AI can support fraud and scam analysis, and the controls required to manage the risks of using those applications, is also desirable
Hours
35Job Posting Closing Date:
12/10/2026Ways of Working:Remote FirstSkills Required
- Strong academic background in a STEM discipline such as Mathematics, Physics, Engineering, or Computer Science
- Experience with statistical modeling and machine learning techniques applied to fraud or complex risk problems involving rare events
- Ability to use data to solve business problems from hypotheses through resolution
- Experience using a programming language and software engineering fundamentals
- Experience with cloud applications and options
- Experience synthesizing, translating, and visualizing data and insights for key stakeholders
- Experience in model monitoring, model-risk governance, and documenting analytical decisions for review and challenge
- Knowledge of how Large Language Models and agentic AI can support fraud and scam analysis, including controls for managing application risks
NatWest Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NatWest Group and has not been reviewed or approved by NatWest Group.
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Flexible Benefits — A flexible ValueAccount structure with pension and benefit funding allows tailoring of health, protection, lifestyle, and savings options, with unused amounts typically paid as cash. This flexibility supports personalisation of coverage, particularly in Great Britain where the framework is most detailed.
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Retirement Support — Employer-funded pension contributions are provided on top of salary in Great Britain, alongside automatic retirement enrollment and share/save programs. This creates structured long‑term wealth support as part of total reward.
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Parental & Family Support — UK policies outline extended maternity, adoption and equal partner leave on full pay with a phased return, plus paid neonatal care leave. These provisions are positioned as market‑leading and complement broader flexibility resources.
NatWest Group Insights
What We Do
We’re a business that understands when our customers and people succeed, our communities succeed, and our economy thrives. As part of our purpose, we’re looking at how we can drive change for our communities in enterprise, learning and climate. As one of the leading supporters of UK business, we’re prioritising enterprise as a force of change. We’re focusing on the people and communities who have traditionally faced the highest barriers to entry and figuring out ways to remove these. Learning is also key to our continued growth as a company in an ever changing and increasingly digital world. By setting a dynamic and leading learning culture, our people prosper, and our customers are given the tools to continue to improve their financial capability and confidence. One of the biggest challenges we all face in our future is climate change. That’s why we’ve put it right at the core of our purpose. We want to champion climate solutions with financing and entrepreneurial support, fully embed climate into our culture and decision making, and be climate positive by 2025. We’re committed to using our purpose to break down barriers, drive change and ultimately create a great place to work.
