Data Scientist / Statistician

- A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation. - Experience using deep learning models, particularly for sequential data. - Familiarity with Open Banking or Credit Bureau data. - Experience working with multi-modal data; in multiple formats from a variety of different sources. - Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. - Experience of Model Risk Management; technical documentation, coding best practices, the importance of validation and ongoing monitoring. - Natural curiosity and proactive engagement with all areas of the business, with a desire to ask questions, challenge the status-quo and identify where Data Science can add value. - Ability to communicate findings to a diverse business-focused audience, influencing others in both verbal and written form. - A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions.