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- Tasks: Join a dynamic team to embed AI and predictive analytics in facilities management.
- Company: Combined Facilities Management Ltd is Northern Ireland's leading multi-trade facilities management provider.
- Benefits: Enjoy access to a development budget and support from Queen's University academics.
- Why this job: This role bridges academia and industry, enhancing your skills while driving innovation.
- Qualifications: Must have or be about to obtain a 2.1 degree in Data Science, AI, or similar.
- Other info: Perfect launchpad for your career with opportunities for project management experience.
The predicted salary is between 30000 - 42000 £ per year.
Through the Knowledge Transfer Partnership (KTP) Programme, Combined Facilities Management Limited in partnership with Queen's University Belfast have an exciting and innovative employment opportunity for a dynamic and motivated Computer Science/Data Science/Business Analytics graduate to work on a project to embed advanced predictive analytics, real-time data integration, and AI-driven tools into facilities management to drive operational excellence, agility, and competitiveness. This role is company-based and will be delivered in collaboration with Queen's Business School.
The successful candidate will become part of a team within Combined Facilities Management Ltd (CFM). CFM is the leading provider of multi-trade facilities management services across Northern Ireland. Managing over 80,000 jobs annually, they deliver reactive and planned maintenance, M&E services, and compliance-driven solutions. As part of CFM's ongoing digital transformation, they have already achieved 90% paperless operations; streamlining workflows and improving efficiency across services. Their diverse workforce includes over 350 internal multi trade/ discipline employees, supported by a supply chain of 1,500 partners, all of whom operate within the company's digitally integrated systems.
This KTP project will embed AI-driven predictive analytics, real-time data integration, and process automation to further support frontline workers, enhance efficiency, compliance, and service delivery-while also supporting workforce development to ensure seamless adoption of digital tools.
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) a minimum 2.1 classification undergraduate degree in Data Science/AI/Computer Science, or similar discipline. Candidates with a 2.2 classification and a Masters-level degree in a relevant subject, or with substantial relevant experience, will also be considered.
- Relevant programming experience in data science languages such as Python or R.
- Relevant experience developing business intelligence solutions using tools such as Microsoft Power BI or similar.
- Relevant experience in predictive analytics and machine learning.
- Relevant experience in data management, including data storage and integration.
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 on our website. 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.
Skills: Engineering, Manufacturing, Engineering Technology, Management
AI & Data Engineer - KTP Associate employer: Queens University
Contact Detail:
Queens University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Data Engineer - KTP Associate
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data analytics, especially in facilities management. Understanding how predictive analytics and real-time data integration are being applied in the industry will help you demonstrate your knowledge during interviews.
✨Tip Number 2
Network with professionals in the field by attending relevant workshops or webinars. Engaging with industry experts can provide insights into the role and may even lead to valuable connections that could support your application.
✨Tip Number 3
Showcase any hands-on experience you have with tools like Microsoft Power BI or programming languages such as Python or R. Be prepared to discuss specific projects where you've applied these skills, as practical examples can set you apart from other candidates.
✨Tip Number 4
Research Combined Facilities Management Limited and their digital transformation initiatives. Understanding their goals and challenges will allow you to tailor your discussions and show how your skills can directly contribute to their ongoing projects.
We think you need these skills to ace AI & Data Engineer - KTP Associate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant qualifications and experiences in Data Science, AI, or Computer Science. Emphasise any programming skills, particularly in Python or R, and mention any projects or modules that relate to predictive analytics and machine learning.
Craft a Strong Cover Letter: In your cover letter, clearly articulate how your background aligns with the KTP role. Discuss specific experiences that demonstrate your ability to integrate advanced analytics into facilities management and how you can contribute to CFM's digital transformation.
Demonstrate Relevant Experience: When detailing your experience, focus on any business intelligence solutions you've developed using tools like Microsoft Power BI. Provide examples of how you've applied data management techniques and predictive analytics in previous projects or placements.
Highlight Your Academic Achievements: Since this role is aimed at graduates, ensure you mention your academic achievements, including your degree classification and any relevant coursework. If you have a Master's degree or substantial experience, make sure to highlight that as well.
How to prepare for a job interview at Queens University
✨Showcase Your Technical Skills
Make sure to highlight your programming experience in data science languages like Python or R. Be prepared to discuss specific projects or modules where you've applied these skills, as this will demonstrate your practical knowledge and ability to contribute to the role.
✨Understand the Company and Project
Research Combined Facilities Management Limited and their ongoing digital transformation efforts. Familiarise yourself with their services and how AI-driven tools can enhance operational excellence. This will show your genuine interest in the company and the KTP project.
✨Prepare for Predictive Analytics Questions
Since the role involves predictive analytics and machine learning, be ready to discuss your relevant experience in these areas. Think of examples where you've successfully implemented these techniques and how they can be applied to facilities management.
✨Demonstrate Your Problem-Solving Skills
The role requires a dynamic and motivated individual. Prepare to discuss challenges you've faced in previous projects and how you overcame them. This will showcase your critical thinking and adaptability, which are essential for driving innovation in the company.
