This is an exciting opportunity for an ambitious graduate with the ability and confidence to manage a Knowledge Transfer Partnership (KTP) project with Kennedys Law LLP.
The University of Manchester and Kennedys Law LLP are looking to recruit a data scientist to undertake this 24 month project which has an overall aim to develop and embed an intelligent data-driven fraud prevention and detection service to support insurance claims by utilising probabilistic machine learning, text analytics techniques and semantic technologies, that can shape and add value to business intelligence.
The position will provide the successful candidate with a unique opportunity to take the lead on a strategic project translating the evidential reasoning processes designed by UoM experts and integrating the new processes into existing Kennedys working practices. The Associate will, therefore, be faced with the challenge of understanding both the theory and the practical application of data analytics to support the development of the intelligent data-driven model; and translating their technical know-how into a form that can be easily understood and used by users within Kennedys and their clients.
Candidates will require a recently-obtained Minimum 2:1 in Computer Science, Applied Statistics with Computation or related subject along with a PhD in a related subject area OR a Master’s degree in Decision Science, Operational Research, Data Analytics, Applied Statistics, Artificial Intelligence or Machine Learning, with evidence of a strong grounding in e-business, software engineering or equivalent. Candidates who can demonstrate commercial experience with a Master degree which substitutes for a PhD will also be considered.
This post is funded through a Knowledge Transfer Partnership (KTP) award, a UK Government scheme intended to promote sustained and mutually beneficial relationships between universities and industry.
Based at Kennedys Law LLP, Churchgate House, 56 Oxford Street, Manchester, M1 6EU the successful candidate will work directly with supervisors from both the University and Kennedys Law LLP and will use the facilities and resources of both organisations.
As an equal opportunities employer, we welcome applications from all suitably qualified persons. However, as male candidates are currently under-represented at this level in this area, we would particularly welcome applications from men. All appointments will be made on merit.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies
Enquiries about the vacancy, shortlisting and interviews:
Name: Prof Dong Ling Xu
Tel: 0161 275 4499
Tel: 0161 850 2004
This vacancy will close for applications at midnight on the closing date