Through the Knowledge Transfer Partnership (KTP) Programme, Haldane Group Limited in partnership with Queen's University Belfast have an exciting employment opportunity for an ambitious and dynamic Data Science/Computer Science/Business Analytics graduate to work on a project to develop and embed advanced digital, AI and automation technologies to enhance the Haldane Group's customer proposition, streamline operations, and build a resilient, future-ready business model. This role is company-based and will be delivered in collaboration with Queen's Business School. Our Story Founded in 1946, Haldane Fisher Group has grown from its roots to become one of the UK's top ten builder's merchants. What We Do Operating through multiple specialist brands, we supply building materials, plumbing supplies, bathrooms, and timber products primarily to trade professionals, with selective retail offerings across certain brands. Industry Leadership We don't just operate in our industry - we help shape it. As an active participant at board level with the Builders Merchants Federation (BMF), we work alongside industry leaders to: Drive best practice across the sector. Influence local and central government policy. Champion innovation and sustainability. Share knowledge and learning across the industry. Why Join Us? When you join Haldane Fisher Group, you're not just joining a company - you're becoming part of a team that's shaping the future of the builders merchant industry. You'll benefit from our 80-year heritage while contributing to our exciting future growth. Information about the Company partner can be found at: About the person: The successful candidate must have, and your application should clearly demonstrate that you meet, the following criteria: Hold a minimum of a 2.1 Honours degree (or equivalent) in Computer Science, Software Engineering or a closely related discipline. Where candidates hold a minimum 2.1 undergraduate degree in another discipline, this is acceptable provided they also hold a higher degree (Masters level or equivalent) in Data Science/Business Analytics/AI, or a closely-related discipline. Where candidates hold an international degree, please ensure the equivalence of this to a UK classification (i.e. 1st class, 2.1, 2.2 etc) is clear in your application. Demonstrable technical skills in data integration, AI and predictive analytics* Relevant experience of software project management including process mapping, requirement specification and testing* Relevant experience of data visualisation* Relevant experience of data-driven projects* Completion of a relevant research project or student placement. * May be demonstrated through the completion of a module, student project or placement. Applicants must adequately evidence how they have gained relevant experience/knowledge/skills in detail, using examples and dates where appropriate to demonstrate that they meet these requirements. It is not sufficient to simply list duties/skills/modules/assignment titles as evidence. 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 document on our website.
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