Senior Lecturer in Business AI and Analytics
Wrexham Business School is at an exciting point in its development with the recruitment of its inaugural Dean. The School’s vision is to be a leading modern civic university business school, regionally and globally engaged, delivering impactful education, enterprise and research which drive inclusive economic growth and innovation for the well-being of current and future generations.
The School’s strategic aims are aligned to the three pillars of the University’s Strategy and Vision 2030:
* Student Experience and Opportunities –A transformative experience, enabled through individualized routes into and through university, that empowers students to make positive contributions to business, to their community and to their region.
* People, Places and Partnerships – The leading Welsh Business School for widening participation and community engagement, being at the heart of an anchor and beacon University for Wales which is locally rooted and globally engaged. A Business School that is part of a University that listens, engages and reflects what matters most to our people, places and partners.
* Research and Enterprise – A Business School that is the Gateway into the University facilitating enterprise and applied research that delivers social and economic benefits for our region.
The School’s existing portfolio of programmes incorporates on campus undergraduate and masters programmes, an online MBA and partnership provision in both the UK and overseas. We also have a small number of doctoral students. The School is also developing a suite of new cross-disciplinary masters programmes and micro-credentials. The successful candidate will lead on programmes and modules, applied research, enterprise and partnerships in Business AI and Analytics, working in collaboration with colleagues across the University.
The Role
The Senior Lecturer in Business Analytics and AI is a new post within the business school and requires proven industry experience in this subject area. Key skills required include:
* Applied machine learning, including supervised and unsupervised learning techniques.
* Design and deliver modules in AI for Business, Data-Driven Strategy, and Applied Analytics.
* Solid understanding of data governance, data quality, and integration principles.
* Stakeholder management, and quality assurance.
* Experience in implementing AI/ML models in real-world commercial settings
* Familiarity using cloud and other platforms
* Strong data manipulation and analytical skills using Python and basic ML libraries
* Experience of developing business UG and PG modules in areas of data analysis, Big Data, AI applications and machine learning.
Industry subject expertise is essential for this role to engage students with real-world learning, with opportunities to teach, research and engage with areas related to analytics and generative AI for business and SMEs.
The embedding of research-led teaching to develop critical thinking, enquiry skills is fundamental, ensuring depth of knowledge transfer and understanding of the subject and related industry needs.
Additionally, the post would deliver on:
* Optimisation and AI in business, applied AI in business, and evidence-based consultancy.
* Collaborative research, machine learning in practice, data analytics in business, visualising and analysing data.
* Effective data science management, extracting information from large data sets, extracting, and forecasting.
* Integration of human-AI collaboration and behavioural science with AI.
Wrexham University is a signatory to the Researcher Development Concordat and Research Integrity Concordat. The University is committed to the principles of these concordats and is dedicated to the development of researchers in all posts and upholding the highest standards of rigour and integrity in all aspects of research.
Wrexham University is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates and will ensure applicants will not be discriminated against due to their protected characteristics under the Equality Act 2010. The University will make all efforts to meet your access requirements, please contact our Human Resources Team as soon as possible to discuss any adjustments you may need.
We welcome applications in Welsh and English. Any applications submitted in Welsh will not be treated less favourably than applications submitted in English.
#J-18808-Ljbffr