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Data Scientist (KTP Associate)

The University of Manchester

Location: Brighton
Salary: £32,236 to £39,609
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 28th November 2018
Closes: 3rd January 2019
Job Ref: S&E-13101
 

Job Reference: S&E-13101
Location: Madgex Ltd (Brighton)
Closing Date: 03/01/2019
Salary: £32,236 - £39,609 per annum according to experience
Employment Type: Fixed Term
Faculty/Organisational Unit: Science & Engineering
Division: Computer Science - Machine Learning and Optimisation
Hours Per week: Full Time
Contract Duration: 24 Months Fixed-Term

This is an exciting and unique opportunity for an ambitious PhD graduate or post-doctoral data scientist with the ability and confidence to manage a strategically important Knowledge Transfer Partnership (KTP) project with Madgex Limited. As a market leader in career technology, Madgex develops software to help brands grow their recruitment businesses and work with the world's leading media brands and organisations to help unlock their audience value.

In recent years, the competition in the recruitment market has intensified, and there is urgent demand for innovation in career technology and software platform development in order to maintain the competitive edge. Facing such a challenge, this KTP project creates an exciting opportunity for you to - from an individual professional development point of view - become part of the new generation of experts in the technology innovation of recruitment market and business.

The University of Manchester and Madgex are looking to recruit a data scientist with the expertise in Natural Language Processing (NLP), Text Mining, Machine Learning, and high proficiency in programming with Python to undertake this 24-month project. The overall aim of which is to develop, embed and exploit novel machine-learning and text-mining methods and tools that deliver an innovative and sector-leading recruitment offering to job seekers and recruiters.

The position will provide you with a unique opportunity to apply state-of-the-art NLP, text mining and machine learning techniques and methods to develop the cutting-edge technologies which have a high level of commercial applicability. You will play a vital role in introducing new NLP, Text Mining and computational techniques to support strategically important future business development.

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 Madgex Corporate HQ in the city centre of Brighton, the successful candidate will work directly with supervisors from both the University and Madgex and will use the facilities and resources of both organisations. 

The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visit: www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athena-swan

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies

Enquiries about vacancy shortlisting and interviews:

Name: Dr XiaoJun Zeng

Email: x.zeng@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.

   
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