Data Scientist - Predicitve Financial Services - Statistics / Data Mining / Automation
Superb Financial Services broker requires a Data Scientist to join their team.
This is an exciting opportunity for an ambitious Computer Science, Statistics or related graduate to fast-track their career development as a Knowledge Transfer Partnership (KTP) Associate. This post is a dynamic role looking to develop a capability for applying cost-sensitive data mining methods for optimizing online finance brokerage, leading to the best deals for customers. The post holder will have some prior experience of statistical and data mining methods, together with experience of data mining toolkits such as WEKA or R. The key challenge of this project will be to utilise technology to streamline and automate processes whilst improving critical conversion rates during customer journeys. In addition, working in a commercial company in close contact with other staff, the Associate will gain experience of being a key player within the growth of the business.
The successful candidate will undertake a 24 month collaborative project between the client and the University of Salford (School of Computing, Science & Engineering). Based in Central Manchester, you will be supported by the staff from the company and an academic team from the University of Salford whilst undertaking scientific research work. The post holder from their involvement in this programme will also gain a deeper understanding of commercial project management, finance, business relations and marketing strategies.
The successful candidate will receive extensive practical and formal training, gain highly desirable specialist business skills, broaden knowledge and expertise within an industrially relevant project, and gain valuable experience from their commercial and academic mentors. The KTP Associate will benefit from a Personal Development Budget of £4,000 and will have the opportunity to register free of charge for a postgraduate research qualification.