Job type: Contract
Job reference: : BBBH124125
Location: England, London
Sector: SMART Grid, Utilities
Salary: Up to £0.00 per annum
Date posted: 13/04/2018
Your Key Responsibilities will be:
Contributing to the development and innovation of data science products.
Improving the existing energy dis aggregation algorithms.
Analysing energy consumption data gathered through sensors to find interesting patterns and behaviours.
Supporting the product build process, working closely with the Product and Engineering teams to deploy new algorithms in the production platform.
Working with the Customer Success and Product teams to deliver customer projects.
Sharing knowledge, ideas and opinions on the latest technologies and research.
The most successful applicant will have:
A PhD in a STEM subject
At least 4 years of highly relevant work experience in industry (ideally in IoT and/or energy domains)
Proficiency in Python and querying languages (e.g. SQL).
Solid knowledge of probabilistic reasoning techniques, Bayesian methods and inference algorithms
Experience of Deep Neural Network development
Proven experience of using statistical techniques to solve regression, clustering, classification and time series forecasting problems.
(ideally) Experience of using Tensorflow, Keras or Theano as well as knowledge of other data tools (e.g. MATLAB, R, C++, Scala, Cassandra)
Excellent Communication skills
A showcase of publications in the machine learning and data science fields would be an advantage.
Length: 6 Months likely to extend
If you are interested, please submit your application for an immediate review
For more information about this role please contact our London office