Data Scientist - (KTP Associate position)

University of Salford - KTP

Permanent or length of contract: 2 years

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. Trak Global (Solutions) Ltd, ‘Trak’, is made up of two constituent parts with a technology, operation and R&D unit (Trak) and an insurance brokerage (Carrot Insurance). Trak design and manufacture black box telematics sensors for the fleet and insurance markets. This post is a dynamic role looking to develop a market-disrupting predictive driver behaviour scoring algorithm, increase the profitability of the company’s insurance book and understand/instigate a change in the social norm of driver behaviour. 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 is that machine learning algorithms are usually tested on benchmark data sets which are static and often aim to classify events into discreet categories or form clusters aimed to group data. This project poses a very different problem in that the data is temporal and the aim is to identify patterns of behaviour, with the solution resulting in new knowledge that can be expected to lead future directions for research. 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 Trak and the University of Salford (School of Computing, Science & Engineering). Based in Crewe, Cheshire, 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 KTP Associate will benefit from a Personal Development Budget of £4,000 and will be encouraged to register for a PhD qualification or other postgraduate research qualification (fees waived).

Skills required: Candidates should possess a degree with a minimum of a 2.1 or a higher degree in Computing Science/Statistics or related discipline. An in-depth understanding of software development methods and a wide range of data mining methodologies is essential when applying for this post as is experience of working with databases and data mining toolkits such as WEKA or R.

Please note that this vacancy will close at 11:59pm on the 4th November 2017.

For more information and to apply for this vacancy please visit: http://www.jobs.salford.ac.uk/

Interview date: TBC

At the University of Salford we are committed to an inclusive approach to promoting equality and diversity.

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Northern England