The demand for real-time online analytics is changing the way organisations solve problems in the "Big Data" community and my
client has developed a platform that applies advanced Natural Language
Processing (NLP) techniques to offer both a viable and long-term solutions
faced by organisations in key industries.
There is a particular need for an individual who has spent a
significant part of either their PhD, post-doc or commercial work experience in
applying a variety of Natural Language Processing (NLP) or Text Mining
methodologies in a hybrid role that sits between the core technology platform
of the product and the business.
The role will appeal to individuals who enjoy the R&D
element of their work but with an interest in real-world applications and
suitable profiles should demonstrate the following:
-PhD calibre background in NLP, Text Mining or related
Machine Learning subjects (covering text analysis, text processing, log-linear
methods, LDA etc)
-The ability to convert research into practical algorithms
in some computational/programming tools (Java, WEKA, Matlab etc).
-Evidence of an intuitive grasp of real-world problems and
applications of advanced NLP/Text Mining methods.
Sound like you? CVs in confidence to discuss further.
Key Words: Natural language processing, Text Mining, Text
analysis, Semantic Web, Data Mining, Data Scientist
