Data Scientist, Artificial Intelligence

Overview

Join us as a Data Scientist, Artificial IntelligenceYou''ll be identifying and working with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as neededWe''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 dataThis is an opportunity to achieve excellent exposure in a challenging role and to make a real impact with your workWhat you''ll do

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.Developing and deepening your knowledge of data structures and model performance metrics, advocating for changes where needed for product developmentCommunicating effectively across our functions and franchises to make business recommendations, gaining business buy-in to solutions tailored to customers'' needsConducting analysis that includes data gathering and requirements specification in collaboration with business stakeholdersIteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deploymentIdentifying new methods, tools, techniques and opportunities to deliver business value via cost reduction, income generation or improved customer experience through the application of data scienceThe skills you''ll need

To succeed in this role, you''ll need significant experience of developing and deploying supervised machine learning models, including classification algorithms, anomaly detection techniques, and network analysis methods. You''ll be familiar with large language models (LLMs) and generative AI technologies.You''ll also 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 practicesExperience 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 dataThe ability to demonstrate leadership, self-direction and a willingness to both teach others and learn new techniquesExcellent written and verbal communication skills and the ability to adapt the communication style to a specific audienceExtensive relevant work experience, with emphasis on statistical data analysis such as linear models, multivariate analysis, stochastic models and sampling methodsExperience with prompt engineering, fine-tuning, and integrating GenAI capabilities via APIs to deliver practical business solutionsHours

35Job Posting Closing Date:

08/10/2025Ways of Working:Remote ..... full job details .....