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- Tasks: Join a dynamic team to embed AI and predictive analytics in facilities management.
- Company: Combined Facilities Management Ltd is a leading provider of multi-trade services in Northern Ireland.
- Benefits: Enjoy remote work options and access to a substantial development budget.
- Why this job: This role offers a unique chance to bridge academia and industry while enhancing your skills.
- Qualifications: Must have or be about to obtain a 2.1 degree in Data Science, AI, or similar.
- Other info: Gain support from Queen's University Belfast's world-class academics throughout the project.
The predicted salary is between 36000 - 60000 £ 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.
Candidates should indicate how their experience can be applied to this post. Please note the above are not an exhaustive list. 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
Benefits: Work From Home
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 can enhance operational efficiency will give you a significant edge 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 specific challenges faced in facilities management and how AI solutions are being implemented.
✨Tip Number 3
Prepare to discuss your practical experience with programming languages like Python or R. Be ready to share specific examples of projects where you've applied these skills, as this will demonstrate your hands-on capability to potential employers.
✨Tip Number 4
Research Combined Facilities Management Limited and their digital transformation journey. Understanding their current systems and challenges will allow you to tailor your discussions and show how your skills can directly contribute to their goals.
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 in Python or R, as well as your experience with business intelligence tools like Microsoft Power BI.
Craft a Strong Cover Letter: In your cover letter, clearly articulate how your background aligns with the KTP role. Mention specific projects or experiences that demonstrate your skills in predictive analytics, machine learning, and data management.
Demonstrate Relevant Experience: When detailing your experiences, be specific about how they relate to the job description. Use examples from your studies, projects, or placements to show how you can apply your knowledge to the role at Combined Facilities Management.
Highlight Your Motivation: Express your enthusiasm for the role and the opportunity to work at the intersection of academia and industry. Discuss how this position fits into your career goals and your eagerness to contribute to CFM's digital transformation.
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 Its Needs
Research Combined Facilities Management Limited and their digital transformation efforts. Understanding their current challenges with technology adoption will allow you to tailor your responses and show how your skills can help them achieve operational excellence.
✨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 Collaborative Spirit
This role involves working closely with both CFM and Queen's University Belfast. Highlight any past experiences where you've collaborated on projects, especially in a team setting, to show that you're a team player who can bridge the gap between academia and industry.
