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Data Scientist (KTP Associate)
  • Python
  • SQL
  • Java
  • Machine Learning
  • Amazon S3
  • Database
  • Azure
Manchester Metropolitan University
Manchester
119 days ago

An exciting opportunity has become available to work full time on a 2-year Knowledge Transfer Partnership (KTP) to embed Industry 4.0 (I4.0) capabilities to improve data capture and further analysis internally and with all customers' machines. The project will aim to gather a total continuous view of PAL machine performance assessing trends and predicting maintenance in advance of breakdowns to provide world-class support and minimize costs.

Company information:

Packaging Automation Ltd was established in 1963 and is an award-winning manufacturer of tray sealing, pot filling and sealing machinery. Find out more about the company at https://www.pal.co.uk/

Qualification we require:

A computer science or mathematics background, preferably with a Masters’ or PhD in Data Science or equivalent.

Application requirements:

  • High level programming expertise, using languages such Python, Java or equivalent
  • Experience on database design and SQL
  • Demonstrable experience of AI/machine learning and using data to predict outcomes
  • Familiarity with web frameworks and RESTFul APIs
  • Some experience on platform such Amazon S3 or Microsoft Azure or similar would be desirable
  • Enthusiasm, strong communication and time management skills
  • Ability to work to strict deadlines, both individually and collaboratively, often with multiple tasks
  • Good command of written and spoken English.
  • Capable of communicating complex concepts in a clear manner to a wide-ranging audience
  • Eagerness to learn and develop knowledge in emerging technologies

Benefits:

  • £2,000 per year to spend on personal training;
  • Attendance at two residential managerial workshops (each of one week’s duration);
  • Opportunity to register on a higher degree (at a reduced or no cost);
  • Opportunity of a permanent position with the company; 70% of host companies make a permanent job offer to their Associate at the end of the project.

For an informal discussion, please contact Dr Ali Kashif Bashir (A.Bashir@mmu.ac.uk) or Dr Rupak Kharel (r.kharel@mmu.ac.uk).

Apply by submitting a CV and covering letter detailing how you meet the criteria for the role.

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