Join us as a Data Scientist
- We’ll look to you to lead, drive and embed the design and implementation of data science tools and methods which harness our data in order to drive customer solutions
- You’ll also proactively bring together statistical, mathematical, machine learning and software engineering skills to develop and implement ethically sound models end-to-end
- This is an opportunity for you to hone your skills and make an impact by applying a software engineering and product development lens to solve complex business problems
- We are offering this role at vice president level
As a Data Scientist, you’ll use data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through advanced analytics, making sure new and existing solutions are designed with a Group mindset.
You’ll also understand the complex requirements and needs of business stakeholders along with developing strong relationships, forming hypotheses and identifying suitable data and analytics solutions to meet those needs in order to support our business strategy.
In addition, you’ll be:
- Articulating advanced data and analytics opportunities, bringing them to life through data visualisation in a way that business stakeholders can understand and engage with understanding the benefits, trade-offs and ethics
- Leading both direct reports and wider teams in an agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes
- Selecting, building, training and testing complex machine learning models considering model valuation, model risk, governance and ethics, making sure there is no bias at build to ensure models are ready to implement and scale
- Leading and delivering stakeholder engagement activities to develop effective project working relationships making sure that stakeholder needs and concerns are identified and met
- Identifying opportunities to support our external customers using data science expertise and capability aligned to our Group strategy
- Exploring data, making sure golden source data is used appropriately to identify the correct approaches to extract the most value and establishing best practice for machine learning development, data access and procurement
We’re looking for someone who comes from an academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science and understands exploratory data analysis. You’ll have experience with statistical modelling and machine learning techniques along with programming language and software engineering fundamentals.
You’ll also have:
Proven proficiency in Python and relevant libraries such as Pandas, NumPy, and Scikit-learn
Experience of cloud applications such as AWS Sagemaker
Experience in data science, analytics, and machine learning with strong understanding of statistical analysis, machine learning models and concepts, LLMs, and data management principles
Proficiency in data visualisation tools
Hours
45Job Posting Closing Date:
31/07/2026Skills Required
- Academic background in a STEM discipline (Mathematics, Physics, Engineering, Computer Science)
- Proven proficiency in Python
- Proficiency with Pandas, NumPy, and Scikit-learn
- Experience with cloud ML platforms such as AWS Sagemaker
- Experience in data science, analytics, and machine learning including statistical analysis, ML models, and LLMs
- Understanding of data management principles and use of golden source data
- Proficiency in data visualisation tools
- Experience leading teams and stakeholder engagement within multidisciplinary data and analytics teams
- Software engineering fundamentals and product development mindset
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.
