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- Tasks: Drive digital transformation through advanced forecasting and scheduling at IPC Mouldings.
- Company: Join IPC Mouldings, a leader in smart manufacturing for aircraft interiors.
- Benefits: Enjoy autonomy, access to a development budget, and support from top academics.
- Why this job: Be a change leader in an innovative environment with real impact on global manufacturing.
- Qualifications: Must have or be about to obtain a relevant Honours Degree with a minimum 2.1 classification.
- Other info: This KTP role is a unique launchpad for your career in digital transformation.
The predicted salary is between 36000 - 60000 £ per year.
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 dynamic and 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.
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, Data Analytics 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 focused on digital transformation or forecasting/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.
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.
Digital Transformation Engineer - KTP Associate - IPC Mouldings employer: Queens University
Contact Detail:
Queens University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Transformation Engineer - KTP Associate - IPC Mouldings
✨Tip Number 1
Familiarise yourself with IPC Mouldings and their specific projects. Understanding their niche in the market, especially in smart manufacturing and the aerospace sector, will help you tailor your discussions during interviews and show genuine interest.
✨Tip Number 2
Network with professionals in the field of digital transformation and data analytics. Attend relevant industry events or webinars where you can meet people from IPC Mouldings or Queen's University Belfast, as personal connections can often lead to job opportunities.
✨Tip Number 3
Prepare to discuss your experience with data modelling and visualisation tools. Be ready to share specific examples of how you've applied these skills in past projects, as this will demonstrate your practical knowledge and readiness for the role.
✨Tip Number 4
Showcase your understanding of Machine Learning and AI technologies. Consider discussing any relevant coursework or projects that highlight your ability to integrate these technologies into business processes, as this aligns closely with the role's requirements.
We think you need these skills to ace Digital Transformation Engineer - KTP Associate - IPC Mouldings
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant qualifications and experiences in Computer Science, Data Science, AI, or Data Analytics. Emphasise any projects or modules that relate to digital transformation, forecasting, or data visualisation.
Craft a Strong Cover Letter: In your cover letter, clearly articulate your motivation for applying to IPC Mouldings and how your skills align with their goals. Mention specific experiences that demonstrate your ability to drive innovation and transformation.
Demonstrate Relevant Experience: In your application, provide concrete examples of your experience in data modelling, programming, and systems integration. Highlight any use of automation tools like the Power Platform and your understanding of Machine Learning and AI technologies.
Follow Application Guidelines: Carefully read the Candidate Information document linked on the website. Ensure you address all essential and desirable criteria in your application to increase your chances of being shortlisted.
How to prepare for a job interview at Queens University
✨Showcase Your Technical Skills
Make sure to highlight your experience in data modelling, programming, and data visualisation. Be prepared to discuss specific projects or modules where you applied these skills, as this will demonstrate your capability to contribute to IPC Mouldings' digital transformation efforts.
✨Understand the Company’s Vision
Research IPC Mouldings and their role in smart manufacturing. Familiarise yourself with their products and how they integrate advanced technologies. This knowledge will help you align your answers with their goals and show that you're genuinely interested in contributing to their success.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially in relation to forecasting and scheduling. Think of examples from your academic projects or placements where you faced challenges and how you overcame them, particularly in a digital transformation context.
✨Demonstrate Your Passion for Continuous Learning
Since the role offers significant autonomy and encourages exploration of new ideas, express your enthusiasm for continuous learning and professional development. Share any relevant courses, workshops, or self-directed projects that showcase your commitment to staying updated in the fields of AI and data analytics.
