Back to search results

Al Modeler (Research Associate)

The University of Manchester - Humanities

Location: Manchester
Salary: £32,816 to £38,017 per annum, depending on relevant experience
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 24th January 2020
Closes: 24th February 2020
Job Ref: HUM-15203
 

Division: Management Sciences and Marketing (MSM)

Contract Duration: Starting as soon as possible until 31 December 2021

This is an exciting opportunity for an ambitious graduate with the ability and confidence to work on a research project funded by Innovate UK to The University of Manchester together with a consortium of industrial partners, including Kennedys Law LLP, AXA Insurance Group and Leap Beyond Group.

The University of Manchester is looking to recruit an artificial intelligence (AI) modeller, system scientist, decision scientist, or data scientist to undertake this 24 month project which has an overall aim to automate the insurance claims handling process and embed an intelligent data driven virtual claim handler service, designed to handle claims for the Ministry of Justice (MoJ) portal or similar, to support insurance claim by utilising probabilistic machine learning, text analytics techniques and semantic technologies, which can shape and add value to business intelligence.

The position will provide you with a unique opportunity to take the lead on a strategic project translating the evidential reasoning and belief rule based modelling processes designed by UoM experts and integrating the new processes into existing Kennedys and AXA working practices, which will be supported by the data scientists and software specialists of Leap Beyond Group. You will therefore be faced with the challenge of understanding both the theory and the practical application of data analytics, probabilistic inference and evidence-based decision making 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, AXA and their clients.

You will require a recently-obtained Minimum 2:1 in Systems Science, Decision Science, Operational Research, Data Analytics, Artificial Intelligence or Machine Learning, Computer Science, Applied Statistics with Computation or related subjects along with a PhD in a related subject area, with evidence of a strong grounding in e-business, software engineering or equivalent.

This post is funded through an Innovate UK Smart award, a UK Government scheme intended to promote sustained and mutually beneficial relationships between universities and industry.  

Based at Alliance Manchester Business School, you will work directly with the supervisors from the University and with other researchers and practitioners from Kennedys Law LLP, AXA Insurance Group, and Leap Beyond Group.  
As an equal opportunities employer we welcome applicants from all sections of the community regardless of gender, ethnicity, disability, sexual orientation and transgender status.  All appointments are 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 Jian-Bo Yang                             
Email: jian-bo.yang@manchester.ac.uk

General enquiries:
Email: hrservices@manchester.ac.uk
Tel: 0161 275 4499

Technical support:
Email: universityofmanchester@helpmeapply.co.uk 
Tel: 0161 850 2004

This vacancy will close for applications at midnight on the closing date.

Further particulars including job description and person specification are available on the University of Manchester website - click on the 'Apply' button above to find out more

   
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

Job tools
 
 
 
More jobs from The University of Manchester

Show all jobs for this employer …

More jobs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge