A Data Scientist/KTP Associate position is available to develop an adaptable web analytics framework for predicting future purchasing behaviours and recommended marketing strategies based on attributed visitor history and interaction data, using hybrid machine learning and big social data analytics. Emerging research — and the development of practical toolchains — leveraging machine learning, social network analysis, natural language processing, sentiment analysis, data science and big data analytics are making a significant impact on a wide range of sectors. However, there exists a significant translational research problem: in applying and developing these emerging research advances into intelligent, adaptable and usable toolchains for a wide range of markets. This project thus aims to new products and services in the web analytics space for Yard, based upon novel and hybrid machine learning/big data analytical approaches.
This is a two-year project, with a salary of £21,000 (as well as a generous professional development package, including an opportunity to complete a funded MPhil at Cardiff Met). For informal enquiries, please drop me an email: firstname.lastname@example.org; further information and how to apply can be found on the Cardiff Met website.
Deadline for applications: Wednesday 15 June.