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Data Scientist - KTP Associate
Not on campus

Job reference: KT19004

Location: Not on campus

Closing date: 02/06/2019

Job live date: 02/05/2019

Salary: £35 - £38k per annum depending on qualifications and experience

Employment type: KTP Associate

Department: Research and Enterprise Services

Division: Knowledge Transfer Centre

Hours per week: 1.00 FTE

Employment Basis/Type: Fixed Term

An opportunity is available to develop an automated artificial intelligence system to analyse natural language user feedback and incorporate this into a software tool to address exceptional utility consumption in business premises.  The position is an initial 24-month fixed term contract.  It is likely the project will continue beyond the KTP therefore, there is potential for a successful candidate to continue with the company beyond the initial two years.

About Optimal Monitoring:
Established in 1994 Optimal Monitoring develops a web-based energy monitoring and analytics platform, which collects disparate data and produces simple to understand actionable reports automatically. We help organisations use less electricity, gas and water.  Find out more by visiting:

About KTP:
This position forms part of the Knowledge Transfer Partnership (KTP) funded by Innovate UK.  It’s essential you understand how KTP works with business and the University, and the vital role you will play if you successfully secure a KTP Associate position. 

Skill development through training:
There is a £2k pa dedicated training budget tailored towards your own personal development plus management skills training. 

If you have questions about this or other KTP vacancies contact: 
T: 0118 378 6142

The successful candidate must possess:
•    PhD with experience in Natural Language Processing, Artificial Intelligence and Deep Learning 
•    Knowledge of signal processing and database management such as SQL

Essential skills we require as a minimum:
•    Able to develop a sound understanding of the energy and utility sector, along with the ability to quickly learn existing Company’s technical systems
•    An appetite for commercial awareness with strong self-motivation with a desire to drive a project forward
•    Able to work independently within a small team
•    Effective communication to both technical and non-technical audiences 

Interview date: 17 June 2019

Informal contact details

Alternative informal contact details

Contact role:

Academic Supervisor

Contact role:

Academic Lead

Contact name:

Dr Varun Ojha

Contact name:

Dr Lily Sun

Contact phone:

0118 378 8609

Contact phone:

0118 378 8604

Contact email:

Contact email:

The University is committed to having a diverse and inclusive workforce, is a Stonewall Diversity and Global Diversity Champion, and supports the principles of the Race Equality Charter and Athena SWAN.


The closing date for this job has now passed.


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