Digital Transformation Engineer - KTP Associate - IPC Mouldings

Through the Knowledge Transfer Partnership (KTP) Programme, IPC Mouldings in partnership with Queen’s University Belfast have an exciting and innovative employment opportunity for a motivated Computer Science/Data Science/AI/Data Analytics graduate to work on a project to drive digital transformation through advanced forecasting, scheduling, and integration of horizontal and vertical operations. By harnessing data across the business, IPC Mouldings aim to enhance efficiency, improve cost control, and better meet customer demand, establishing their facility as an industry leader in smart manufacturing.

This role is company-based and will be delivered in collaboration with the Advanced Manufacturing Innovation Centre (AMIC) at Queen’s.

The successful candidate will become a leader of change for IPC Mouldings, driving innovation and transformation on behalf of an award-winning and leading provider of injection moulded parts and engineered assemblies for the most demanding of applications in aircraft interiors.

IPC Mouldings’ niche USP is the ability and flexibility to deliver low volume, highly complex products in alignment with the ever-changing demands and systems of a global OEM. From table latch and seat trims to armrests and endbays on an aircraft seat, these highly cosmetic and visual components, seen in aircraft flying all over the world, are made in Carrickfergus.

This role provides significant autonomy, allowing you to shape your own path and make impactful decisions with direct access to a senior leadership team who value continuous learning and will provide the freedom to explore new ideas and grow your skills.

Information about the Company partner can be found at: ipcmouldings.com.

About the person:

The successful candidate must have, and your application should clearly demonstrate that you meet, the following criteria:

• Hold or be about to obtain (by July 2025) an Honours Degree in Computer/Data Science, AI Systems, DataAnalytics or relevant Engineering subject, with a minimum of 2.1 classification. Candidates with a 2.2 classification who possess a higher degree in a relevant discipline will also be considered.
• Relevant experience in a related research field, or on projects focussed on digital transformation orforecasting/scheduling
• Relevant experience in data modelling, programming, and data visualisation*
• Demonstrable experience in data analytics*
• Knowledge of systems integration including the use of automation tools such as the Power Platform*
• Understanding of Machine Learning and AI technologies. *

* = May be demonstrated through the completion of a module, student project or placement.

Applicants should indicate how their experience could be applied to this post.

Please note the above are not an exhaustive list.

A KTP role is the perfect launchpad for your career providing the opportunity to apply your academic knowledge and skills to deliver a strategic innovation project within a company. One of the unique benefits to KTP is access to a substantial development budget and the support and guidance of Queen’s world-class academics and researchers. This role offers an excellent opportunity to work closely between academia and industry whilst developing your skills to run and manage projects.

Information about the KTP Programme can be found on our website.

To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document linked on our website.

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