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Data Scientist (KTP Associate)

Department
Computer Science
Based at
Jigsaw Insurance Services PLC, Harrogate
Hours of work
Full-time
Contract status
Fixed term
Salary
38,017 a year (fixed - no increments) with an additional 2,000pa personal training budget
Interview Date
To be confirmed
Posted Date
12/02/2021
Apply by
14/03/2021
Job Reference
9153
Documents

Role Description

Duration: 17 months

Based at Jigsaw Insurance Services PLC in Harrogate, you will be part of a Knowledge Transfer Partnership (KTP) between Jigsaw and the University of York, developing real-time analysis of vehicle drivers for the insurance industry.

Role

This is one of two posts available on this KTP. You will be involved in developing machine learning and computer vision solutions to identify the vehicle user, analyse the driver’s performance and detect accidents in real time. This involves the live analysis of visual, motion and other sensor data to determine critical events. You will be expected to identify appropriate cutting-edge technologies and use them to develop methods to solve these problems. The other post involves the development of a processing platform to support the data analysis and you will work closely with this associate to deploy your methods. You will be employed by the University of York, and supported by University academics, but will be based at Jigsaw’s site in Harrogate and will work closely with their Analytics team.

The post is full-time and is for 17 months.

The salary is £38,017, fixed for the project duration. There is also an additional £2,000pa available for personal training and development.

Skills, Experience & Qualifications

  • Preferably you will have a PhD in computer vision, machine learning, or a closely related area. A MSc degree in the same areas will also be considered. Some experience of face recognition and anomaly detection will be an advantage.
  • Extensive coding experience in a relevant language (e.g. Python, C++, Java) is required.
  • You will also have strong presentation, writing, and communications skills.
  • You should be able to work well in a group and under your own initiative, and proactive about suggesting innovative solutions.

Interview date: To be confirmed

For informal enquiries: please contact Professor Richard Wilson at Richard.wilson@york.ac.uk

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