Job Number
BU03767
School/Department
Bangor Business School
Grade
7
Salary Information
Grade 7 £37,099.00 - £46,974.00 p.a
Contract Duration
Temporary
Responsible to
Professor in Data Analytics
Closing Date
06-04-2025
Applications are invited for an innovative temporary full-time position working with Bangor University's Business School. Are you passionate about applying cutting-edge data analytics to transform business models? This role offers a unique opportunity to make a real-world impact through developing a ground-breaking dynamic pricing system for the self-storage industry.
In this exciting position, you'll collaborate with leading academics and industry innovators to analyse market data, design and implement smart pricing algorithms, and revolutionize how an entire industry approaches pricing strategy. This SMART Partnership project combines academic rigor with commercial application in a fast-growing technology space.
The ideal candidate will bring creativity and technical expertise to this position. You'll apply your skills in data analysis, algorithm development and project management while building valuable connections across academia and industry. This role represents a rare opportunity to see your analytical work directly implemented in a commercial setting with measurable impact.
Candidates should be educated at least to an undergraduate degree standard (or equivalent) in data analytics, data science, computer science, or a related field, with experience in data analytics or machine learning. Strong Python or R programming skills are essential.
The successful candidate will be self-motivated, able to work independently, and possess excellent communication skills. If you're ready to apply your data analytics skills to create transformative business solutions while enhancing your professional portfolio, this position offers exceptional development potential in a supportive and flexible working environment. The successful candidate will be expected to commence as soon as possible.
This role will be predominantly remote with occasional on-campus meetings at Bangor and M-Sparc (Anglesey). Through our Dynamic Working framework, there will be flexibility to support work-life balance, which will be discussed further with candidates at interview. Applications will also be considered to carry out this role on a part-time or job share basis.
Applications will only be accepted via our on-line. However, in cases of access issues due to disability, paper application forms are available by telephoning 01248 383865.
Closing date for applications: 06/04/2025
Informal enquiries can be made by contacting: Professor Adrian Gepp, Professor of Data Analytics, Bangor Business School, a.gepp@bangor.ac.uk
Committed To Equal Opportunities
The Project
This SMART Partnership aims to develop a dynamic pricing technology platform for the self-storage industry. The project seeks to address the current lack of
transparency in self-storage pricing by analysing market data to understand the factors that influence storage costs. The
initiative will leverage a commercial database of self-storage pricing information and academic data analytics expertise to create a model capable of dynamically pricing diverse storage options based on real-time market data.
This innovation will bring greater transparency and efficiency to the industry, enabling suppliers to better understand competitive positioning and helping consumers find affordable storage solutions that meet their needs. The project represents a knowledge transfer opportunity between university research expertise and industry application, with potential to transform pricing practices across the self-storage sector in the UK.
Purpose of the Job
The post is part of a new team working in the area of data analytics and dynamic pricing systems. The project involves analysing self-storage market data to develop a dynamic pricing model that will bring greater transparency to the industry. The research outcomes will be a functional dynamic pricing algorithm that can be implemented by industry partner. The post holder will be responsible for planning and conducting data analysis, developing and testing pricing models, liaising with external industry partners and internal academic supervisors, and managing the overall project to ensure successful knowledge transfer and implementation.
Main Duties and Responsibilities
- Data Analysis and Modelling: Carry out comprehensive data analysis of market trends and pricing in the self-storage industry; develop quantitative models to identify factors influencing storage costs; apply appropriate statistical and machine learning techniques to extract meaningful insights from pricing data; visualize data trends to support decision-making.
- Technical Framework Development: Establish appropriate data frameworks and backend logic for the dynamic pricing system; design data collection and processing pipelines; implement efficient data structures to support the pricing algorithms; ensure scalability and robustness of the technical solution.
- Collaborative Model Development: Work closely with the research team to develop and test pricing models; iterate on model designs based on feedback from both academic and industry partners; validate models against real-world data; refine algorithms to improve accuracy and effectiveness.
- Project Communication and Reporting: Communicate regular project updates to the management committee; prepare and deliver presentations on progress and findings; create documentation of methodologies and results; write comprehensive final reports for grant funders detailing project outcomes and impact.
- Project Management: Track project progress against established milestones and deliverables; identify and address potential risks or issues; manage project timeline to ensure timely completion of all objectives; coordinate activities between university and industry partners.
- Knowledge Transfer: Work closely with the company's internal team to transfer knowledge and build capacity in data analytics; provide training and guidance on implementation of the dynamic pricing system; document processes and methodologies to support ongoing use of the system after project completion.
- Stakeholder Engagement: Maintain effective communication with all project stakeholders; gather requirements and feedback from industry partners; translate technical concepts for non-technical audiences; build relationships to support successful project outcomes.
Other Duties And Responsibilities
In addition, the following duties and responsibilities common to all job descriptions must be included. This list of duties is not meant to be exhaustive, but merely an indication of the main areas of activity of the post. It may be amended or added to, at the discretion of the Head of College/Service, with other duties commensurate with the function and grade following consultation with the post-holder.
- The post holder will be expected to participate in performance review and developmental activities.
- The post holder will be expected to comply with the University’s equality policies and statements, Dignity at Work and Study Policy and the University’s Welsh Language Scheme.
- The post holder has a general and legal duty of care in relation to health, safety and wellbeing and must take all reasonable steps to ensure a safe and healthy working environment for themselves and for other members of staff, students and visitors affected by their actions or inactions. The post holder is also required to comply with all applicable health and safety policies, procedures and risk assessments.
- The post holder must comply with relevant legal and financial policies and procedures and be aware of their responsibilities in terms of the legal requirements of their post.
Person Specification
Qualifications/Training
Essential
- Undergraduate/postgraduate qualification in data analytics/data science or related field.
Desirable.
- Project management qualification (e.g. Agile) or experience demonstrating successful completion of data analytics projects. Experience/Knowledge Essential
- Experience working with data analytics in a professional or academic setting
- Demonstrated proficiency in applying statistical/machine learning techniques to real-world problems
- Experience managing or contributing significantly to data-driven projects
- Strong coding skills in languages relevant to data analysis (e.g., Python, R) Desirable
- Fundamental understanding of project management principles and practices
- Experience working with pricing models or dynamic pricing systems
- Background in developing data visualization for business intelligence
- Experience in knowledge transfer between academic and commercial environments
- Familiarity with cloud-based data processing and storage solutions
Skills/Abilities
Essential
- Demonstrate proficiency in Python or R programming for data analysis
- Demonstrate expertise in statistical/machine learning techniques and applications
- Demonstrate good verbal and written communication skills
- Demonstrate strong analytical skills, ability to analyse numerical data and present results appropriately
- Demonstrate the ability to prioritize workload and work to deadlines Desirable
- Demonstrate proven project management skills
- Demonstrate good computer skills, including MS Office (PowerPoint, Excel), and data visualization tools
- Demonstrate ability to work as part of a team across academic and commercial environments
- Demonstrate experience in developing and implementing pricing algorithms or models
- Demonstrate strong interpersonal skills, particularly in knowledge transfer contexts.
Other
Desirable
General
The University is committed to supporting and promoting equality and diversity and to creating an inclusive working environment. We believe this can be achieved through attracting, developing, and retaining a diverse range of staff from many different backgrounds. We strive to develop a workforce from all sections of the community regardless of sex, gender identity, ethnicity, disability, sexual orientation, trans identity, relationship status, religion or belief, caring responsibilities, or age.
We promote and facilitate the use of the Welsh language through our progressive Welsh Language Policy.
We comply with the Welsh Language Standards and are committed to equality of opportunity. You are welcome to apply for any job in English or Welsh and all applications submitted will be treated equally.
We are a member of Advance HE's Athena SWAN Gender Equality charter and hold a Silver award in recognition of our commitment to and progress towards gender equality within the University's policies, practices, and culture. We are proud to be a Disability Confident employer. All members of staff have a duty to ensure their actions are in line with the overall environmental aims of the University and minimise their environmental impact. All offers are made subject to proof of eligibility to work in the UK and receipt of satisfactory references.
We have a legal responsibility to ensure that you have the right to work in the UK before you can start working for us.
When you apply for this post you will be required to explain the basis upon which you believe you will able to live and work in the UK legally on the commencement date of the role should your application be successful. If you do not have the right to work freely in any position in the UK already, any offer of employment we will make to you will be subject to you obtaining a right to work visa.
The following link provides information on the various visa routes into employment and the eligibility requirements (including switching visa status where permissible) https://www.gov.uk/browse/visas-immigration/work-visas
If you are successful in your application we will discuss visa options with you at the time of making the offer of employment. Candidates should also note that they may be required to apply for an ATAS certificate (Academic Approval Technology Scheme) from the Counter-Proliferation and Arms Control Centre of the Foreign, Commonwealth and Development Office before being able to apply for a visa - https://www.gov.uk/guidance/academic-technology-approval-scheme
Please note that, in the event of applications being received from candidates on the University's Redeployment Register with a reasonable skills match to the post specification, these applicants will be given prior consideration.
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