Senior Data Scientist
| Posting date: | 18 February 2026 |
|---|---|
| Hours: | Full time |
| Closing date: | 20 March 2026 |
| Location: | Edinburgh, EH12 1HQ |
| Company: | NatWest Group |
| Job type: | Permanent |
| Job reference: | R-00263134 |
Summary
Join us as a Senior Data Scientist
- Influence the bank’s critical decisions by shaping NatWest Group’s response to economic scenarios for budget and stress testing activities
- In this role, you will be contributing to our methodologies, tools, and operations of delivery as a key member of a team responsible for the end-to-end process, from data gathering, through model development, to actual forecasting
- Join an inclusive, high-calibre team where your expertise makes a real-world impact for our customers, shareholders, and colleagues
- You'll spend at least two days per week working in our Edinburgh office, with the rest of your time working from home
What you’ll do
As our Senior Data Scientist, you’ll work closely with business stakeholders to understand their requirements. You’ll merge them with regulatory frameworks and internal Independent Model Validation teams’ requirements to deliver best estimates of our balance sheet, and profit and loss metrics. Along the way, you’ll build strong, trusted relationships across the team and with key partners.
We’ll also expect you to stay curious and outward-looking, keeping pace with new and emerging trends in data science, tools, and techniques, and sharing insights both within the team and more broadly across the bank.
You’ll focus on:
- Collaborating with business stakeholders to define business questions, problems, or opportunities that can be supported through advanced analytics
- Bringing together financial, statistical, mathematical, machine-learning, and programming skills to explore multiple approaches, techniques, and algorithms
- Implementing ethically sound models end-to-end, applying a data product development mindset to complex business problems
- Selecting, building, training, and testing complex machine learning models, considering model risk, governance, and ethics
The skills you'll need
You’re a data scientist who connects rigour with relevance, comfortable moving between complex statistical frameworks and business questions, and motivated by seeing your work influence decisions at scale. To succeed in this role, you’ll bring a strong track record of delivering data science projects in a collaborative, multi-disciplinary environment, supported by a degree in a quantitative field or equivalent practical experience.
You’re adept at working with statistical software, database languages, large data sets, modern analytics tooling, and machine learning techniques, and you take end-to-end ownership of projects. You’ll lead where needed, learn constantly, and raise the capability of those around you.
You’ll need:
- Strong statistical and mathematical foundations, including probability, linear algebra, time series, and regression, applied to solve complex problems
- Advanced capability in Python and other programming languages with a focus on clean, efficient code and implementing algorithms from first principles
- Experience applying data science in a banking or financial context, including exposure to risk, capital, portfolio optimisation, or performance metrics, with curiosity to deepen your expertise
- Understanding of regulatory stress testing and risk measures, with the ability to identify analytics applications that create genuine business value
- Clear, confident communication skills, enabling you to translate complex analysis into insights, influence senior stakeholders, and build trust in your approach