Thomson Reuters is looking for data scientists with a passion for Natural Language Processing with a proven record of applied innovation to join a new and growing Technology Innovation team that has been tasked with driving technology transformation at Reuters News division. Our team’s goal is to apply emerging technologies, like Natural Language Processing, to the plethora of data created by Reuters News editors in order to streamline content generation processes and support creation of new B2B and B2C client facing products. We are looking for data scientists excited to work with abundance of text data in collaboration with other specialists, applying state-of-the-art models to create innovative solutions to challenging business problems.
Applicants should have significant experience in one or more of the following areas: Natural Language Processing, Machine Learning, Question Answering, Text Mining, Information Retrieval, and/or Distributional Semantics.
About Thomson Reuters
You might be familiar with Reuters News, which is one of the 5 biggest media companies in the world, but you might not know that Thomson Reuters is also one of the leading sources of information for 98% of North American legal firms and the vast majority of the Fortune 100.
How much data do we have? Over 60,000 TBs worth of legal, regulatory, news, and tax. That’s about 20,000 times more data than exists in Wikipedia.
Thomson Reuters has long invested in machine learning to help our customers do everything from quickly find the documents they are looking for to answering specific questions to predicting stock movements.
We are capitalizing on our decades of machine learning experience to push the envelope of what is possible using the latest cutting-edge techniques in NLP.
Qualifications and Experience