Company description:

We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.

Job description:

The Role

One Utility Bill Limited and Newcastle University are offering an exciting opportunity to develop a data driven software model that accurately predicts the energy usage for every residential property in the UK - for use in utility bill management. The modelling will utilise time series analysis and machine learning methods.

One Utility Bill are a third-party intermediary (TPI) that simplifies household billing with transparent, bundled utility packages for renters and homeowners. OUBs flagship offering is an unlimited energy package, through which they provide customers with a fixed energy cost based on current market tariffs and projected consumption over the contract term.

Based at One Utility Bill, you will be supported by an interdisciplinary team from Newcastle University, led by Prof. Hongsheng Dai, who has expertise in statistical methodology and statistical applications. You will be also supported by a senior supervisor from One Utility Bill, with expertise in financial control.

Candidates should have a first degree in statistics, data science, computer science, mathematics or a related discipline, as well as a higher degree (ideally PhD) in statistics, data science, optimisation or artificial intelligence.

Benefits: 

• Develop managerial skills and attend two residential managerial workshops (each of one-week duration)
• £4,000 personal training budget
• The opportunity to lead a project, develop project management skills and improve long-term career prospects
• Mentoring by a Knowledge Transfer Network Adviser
• Full access to university resources to complete the project 
• Ability to work in a largely self-determined way, across the industry-academic partnership
• Opportunities to develop both technical understanding and commercial awareness
• The possibility of studying for a higher degree or undertaking professional development

The KTP Associate will be an employee of Newcastle University but will spend most of their working time at the company’s premises at One Utility Bill, 5 Media Exchange, Coquet Street and when required at Newcastle University. 

The KTP Associate will follow One Utility Bill’s working hours and holiday procedure. 

• Your working week will be 40 hours per week, with a shift pattern of Monday- Friday 9:00am-5:00pm.
• Annual Leave applicable to this role is 25 days plus bank holidays.

Although the contract is fixed term for a duration of 2 years, more than 70% of KTP staff gain a permanent job offer from their KTP company.

For more information or informal enquiries, please contact Prof Hongsheng Dai at hongsheng.dai@newcastle.ac.uk or Prof Kevin Wilson at kevin.wilson@newcastle.ac.uk

For further details on the Faculty of Science, Agriculture & Engineering please visit our web page at: https://www.ncl.ac.uk/sage/

For further details about Knowledge Transfer Partnerships please visit the web page at: http://www.ktp-uk.org/