Join us as a Data Scientist
- You’ll be identifying and working with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed
- 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 achieve excellent exposure in a challenging role and to make a real impact with your work
As a Data Scientist, you’ll be helping to detect and reduce fraud using machine learning, scientific rigour and advanced statistical methods. You’ll be supporting and collaborating with multidisciplinary teams of data engineers and analysts 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 and deepening your knowledge of data structures and model performance metrics, advocating for changes where needed for product development
- Communicating effectively across our functions and franchises to make business recommendations, gaining business buy-in to solutions tailored to customers' needs
- 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
To succeed in this role, you’ll need evidence of previous project implementation and work experience gained in a 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:
- Sound knowledge of Python, SQL, version control (git) and familiarity with agile working practices
- Significant experience developing and deploying supervised machine learning models, including classification algorithms, anomaly detection techniques, and network analysis methods
- Experience with big data technologies (Spark, Hadoop) and cloud environments (preferably AWS)
- 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
- Excellent written and verbal communication skills and the ability to adapt the communication style to a specific audience
- Extensive relevant work experience, with emphasis on statistical data analysis such as linear models, multivariate analysis, stochastic models and sampling methods
Hours
35Job Posting Closing Date:
20/07/2025Ways of Working:Remote FirstSimilar Jobs
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.
