Research Officer

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

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