Data Scientist: Treasury Research Labs

Responsibilities of the Candidate: Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Requirements: Undergraduate or equivalent degree. Strong preference is for a degree in a numerical discipline. Subscribes to and can demonstrate Barclays Values and Mindset. Proficiency in scripting languages (e.g., Python, R) and ML frameworks/tools (e.g., Scikit-learn, TensorFlow). Proficiency in SQL for querying multiple databases and rapid prototyping to quickly iterate and test automation solutions. Deep understanding of machine learning and data mining principles, tools, and processes. Strong communication skills, displaying an ability to communicate complex ideas to a diverse audience across all areas and grade.

A British multinational investment bank and financial services company, Barclays PLC's ancestry traces back to two goldsmith bankers, John Freame and Thomas Gould, who were doing business in Lombard Street, London in 1690. James Barclay, after whom the Bank is named, became a partner in the busin...