Principal Data Scientist

Reposted 10 Hours Ago
Be an Early Applicant
4 Locations
In-Office
Expert/Leader
Fintech • Payments • Financial Services
The Role
Lead data science efforts to analyze business problems (fraud, customer interactions, credit risk), build and prototype analytics pipelines, advocate for data-driven product improvements, and influence stakeholders to deploy ML/statistical solutions that reduce costs, increase revenue, and improve customer experience.
Summary Generated by Built In

Join us as a Principle Data Scientist

  • You’ll be identifying and working with data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed
  • We’ll look to you to act as a role model and lead 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 achieve excellent exposure in a challenging role and to make a real impact with your work 
  • You'll work from home some of the time, but you'll also spend a minimum of two days per week working from the office 
What you'll do

As a Principle Data Scientist, you’ll be evaluating and improving business processes and products using scientific rigour and statistical methods. You’ll be supporting and collaborating with multidisciplinary teams on a wide range of business problems, including the prevention of financial crime, understanding customer interactions with the bank and the management of credit risk.

You’ll also be:

  • Developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
  • Communicating effectively across the functions and franchises to make business recommendations, influencing and gaining business buy-in
  • Conducting analysis that includes data gathering and requirements specification in collaboration with business stakeholders
  • Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment
  • Identifying new methods, tools, techniques and opportunities to deliver business value via cost reduction, income generation or improved customer experience through the application of data science
The skills you'll need

To succeed in this role, you’ll need evidence of previous project implementation and work experience gained in data analysis related field as part of a multidisciplinary team. Additionally, you’ll hold a degree in a quantitative discipline or have evidence of equivalent practical experience.

You’ll also demonstrate:

  • Strong understanding of fraud and financial crime systems, including transaction monitoring, onboarding/KYC processes, and real-time risk decisioning, with the ability to apply this knowledge to analytical and machine learning solutions 
  • Experience with statistical software, database languages, big data technologies and cloud environments
  • Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
  • The ability to demonstrate leadership, self-direction and a willingness to both teach others and learn new techniques
  • Effective written and verbal communication skills and the ability to adapt the communication style to a specific audience
  • Extensive relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models and sampling methods

Hours

35

Job Posting Closing Date:

23/07/2026

Ways of Working:Hybrid

Skills Required

  • Degree in a quantitative discipline or equivalent practical experience
  • Evidence of previous project implementation and work experience in data analysis as part of a multidisciplinary team
  • Strong understanding of fraud and financial crime systems including transaction monitoring, onboarding/KYC, and real-time risk decisioning
  • Experience with statistical software, database languages, big data technologies and cloud environments
  • Experience translating business questions into statistical analyses and using statistical techniques to derive answers
  • Leadership, self-direction, and willingness to teach and learn new techniques
  • Effective written and verbal communication, able to adapt style for different audiences
  • Extensive experience with statistical data analysis (linear models, multivariate analysis, stochastic models, sampling methods)

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Edinburgh
40,000 Employees
Year Founded: 1970

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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