Principal Data Scientist

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:

19/07/2026

Ways of Working:Hybrid