Natural language processing for multi-language text
Python development with tensorflow or pytorch
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LRQA is seeking a Data Scientist to lead the development and optimization of their adverse media screening services, utilizing advanced data science, AI, and machine learning techniques. The ideal candidate should have a strong background in applied data science, particularly in compliance technology, and be skilled in developing machine learning models and NLP systems.
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Job Summary
This role leads the technical roadmap for adverse media screening solutions to enhance risk detection accuracy.
The successful candidate will develop advanced NLP systems capable of analyzing multi-language content across global sources.
You will architect resilient ML infrastructure that supports real-time monitoring while meeting strict regulatory standards.
Matching Summary
Match Score: 75
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LRQA is seeking a Data Scientist to lead the development and optimization of their adverse media screening services, utilizing advanced data science, AI, and machine learning techniques. The ideal candidate should have a strong background in applied data science, particularly in compliance technology, and be skilled in developing machine learning models and NLP systems.
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Skills & Requirements
Must-have
Applied data science and machine learning
Natural language processing for multi-language text