What is the purpose of the role?
Working within the data value area, this is an exciting opportunity to join the customer programmes team, where information is analysed and gathered from our smart meter network. This industry leading infrastructure generates over 6 million data points a day and need to be converted into information, insight and drive actions within the business. As we continue to roll out smart metering and other network devices such as acoustic loggers over the next ten years this is a chance to be involved in an unexplored area. As part of a new team this is an opportunity to apply expertise in data preparation, statistics, modelling and analytics to investigate complex problems and extract insight from data, in order to support decision makers.
What makes this role unique?
This is an exciting opportunity to analyse and display the benefits of a bulk metering and acoustic logging programmes using data from our growing estate of meters. You will have the opportunity to help build the cloud based environment; not only in customer programmes but in collaboration with the whole of Thames Water. There is also the opportunity to interact with other data scientists from around the business to share knowledge and build this community. The findings and presentations you put together will shape how we monitor and review contractor outputs and will demonstrate the benefit of our bulk metering and acoustic logging programmes.
What will this role involve?
Collating, interpreting and managing a range of data, you will be responsible for:
Using of appropriate software and hardware to store, extract, process and analyse data.
Support in developing and testing of a new analytics platform to provide regular reports back to the business on value and benefit of the smart meter portfolio.
Working closely with data analysts across the business to share best practice and data science knowledge and understanding.
Using valid statistical techniques to analyse data, design and evaluate statistical experiments.
Collection and analysis of Thames Water and external data sets and assembly into models that can be used to identify new or validate existing risks and needs.
Develop, test and evaluate solutions to fulfil business requirements.
Visualise and communicate data and findings to enable data-driven decision making.
What are we looking for?
To be considered for this role, we are looking for someone who is working towards or has recently completed a degree in Mathematics, Data Science, Computer Science, Programming or within a related subject. Previous experience with Python, R, SQL or any other programming languages would be highly advantageous. Knowledge of the Azure platform along with statistical modelling, machine learning and other data science techniques is desirable. You will have gained experience of working with large data sets and it is essential that you have an analytical mind and a self-driven approach to work. You will have strong communication skills and will be naturally inquisitive with the ability to work in an ever changing environment. You will be comfortable liaising with colleagues and departments across the entirety of the organisation as well as externally. The ideal candidate will be confident using new IT systems and you must be an experienced Microsoft Excel user.
Thames Water information and salary details
This role which can be based out of either Clearwater Court in Reading or Bulman Court in Langley, and is offering a salary of circa £22,950 depending on skills and experience. Due to the nature of the role, some travel to either of these sites will be required. Our competitive salary package includes an excellent contributory pension and holiday scheme and a wider benefits scheme which includes an annual pay review, season ticket loans and loyalty awards for continuous service plus discounts at a wide range of retailers via Benefits on Taps. We also offer 2 paid volunteering days per year.
Thames Water is an equal opportunity, Disability Confident, and Stonewall diversity champion employer.
Closing Date: The closing date for applications is 26/04/2018.