Smart Data Scientist - KTP Associate (Fixed-term)

University of Nottingham - Computer Science

Location: Jubilee Campus
Salary: Salary circa £25,500 - £26,500 per annum depending on skills and experience, plus significant training package (£6,000 over 3 years)

Applicants are invited to apply for the above role which is a Knowledge Transfer Partnership (KTP) between the University of Nottingham (School of Computer Science) and E.On UK PLC. This project will focus on developing innovative services to customers using advanced big data science to maintain E.On’s leading industry position as an Energy provider by analyzing their energy management systems.

You will be employed by the University of Nottingham but will be based at E.On UK, Nottingham.

The post holder should have: 

  • A postgraduate degree (PhD or MSc) in any of these areas: data science, computer science, artificial intelligence or closely related discipline. Graduates with a good first degree in Computer Science and significant experience in Data Science may also be considered.
  • Knowledge and expertise in at least a subset of the core techniques required in this project: data analysis, data mining, machine learning, modelling and optimisation.
  • Experience in at least a subset of specialised tools such as R, Scala, Python, Hadoop, Spark, and Machine Learning libraries.
  • Excellent communication skills and experience in working as part of a team. He/she should also have experience in writing reports and conducting effective bibliographic research.
  • Good knowledge of software development methodologies and some experience developing professional software is also desirable.

E.ON UK PLC engages in generating and distributing electricity, and retailing power and gas in the United Kingdom. E.ON generates electricity from a portfolio of coal, oil, gas, wind, and biomass power plants. E.ON also provides services to customers to heat their homes and understand their energy usage and home installation services. 

The academic team is composed of Dr. Isaac Triguero and Dr. Dario Landa-Silva from the School of Computer Science. Dr. Triguero’s research focuses on advanced big data analytics. Dr. Landa-Silva’s research includes novel models to tackle operational optimisation problems. 

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. Please visit for more information: http://bit.ly/2k2SMOA

This full-time post will be offered on a fixed-term contract for a period of 36 months.

Informal enquiries may be addressed to Isaac Triguero, email isaac.triguero@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted.

Further details:

The University of Nottingham is an equal opportunities employer and welcomes applications from all sections of the community.

Share this job
     
  Share by Email   Print this job   More sharing options
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Location(s):

Midlands of England