Join us as a Data Scientist
- You’ll design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions
- We’ll look to you to actively participate in the 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
- We're offering this role at associate level
What you'll do
As a Data Scientist, you’ll bring together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end-to-end. We’ll look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of our business strategy.
You’ll also be:
- Using data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through analytics
- Applying a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services
- Working in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes
- Selecting, building, training and testing machine learning models considering model valuation, model risk, governance and ethics, making sure that models are ready to implement and scale
- Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment
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.
We’ll also look for financial services knowledge, and an ability to identify wider business impact, risk or opportunities and make connections across key outputs and processes. You will nedd an experience of 4+ years in the below skillset.
You’ll also demonstrate:
- Agentic AI & LLM ExpertiseProficiency in agentic frameworks like LangGraph, LangChain, LangFuse, MCP; strong understanding of LLMs, transformer architectures, and traditional NLP techniques for building intelligent, autonomous AI systems.
- Technical & Cloud SkillsExpert in Python programming and libraries (Pandas, NumPy, scikit-learn); hands-on experience with cloud platforms for model training and deployment; tech-savvy with distributed systems and web technologies like Node.js, React.js.
- Machine Learning FundamentalsDeep knowledge of statistical concepts, linear algebra, and calculus for optimization; skilled in predictive modeling, time series analysis, deep learning, and neural networks for robust data-driven solutions.
- LLM Operations & Domain KnowledgeAbility to manage and operationalize large language models; deploy models on AWS SageMaker, Google AI Platform, IBM Watson; retail banking insights and distributed systems understanding are valuable additions.
Hours
45Job Posting Closing Date:
11/11/2026Skills Required
- Strong academic background in a STEM discipline such as Mathematics, Physics, Engineering, or Computer Science
- Experience with statistical modelling and machine learning techniques
- At least 4 years of experience in the listed skill set
- Proficiency with agentic AI frameworks including LangGraph, LangChain, LangFuse, or MCP
- Strong understanding of large language models, transformer architectures, and traditional NLP techniques
- Expertise in Python and libraries including Pandas, NumPy, and scikit-learn
- Hands-on experience with cloud platforms for model training and deployment
- Experience with distributed systems and web technologies such as Node.js and React.js
- Knowledge of statistical concepts, linear algebra, and calculus for optimization
- Experience with predictive modeling, time series analysis, deep learning, and neural networks
- Ability to manage and operationalize large language models
- Experience deploying models on AWS SageMaker, Google AI Platform, or IBM Watson
- Financial services knowledge
- Retail banking insights and distributed systems understanding
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.
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