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RELX INC Data Scientist II in Paris, France

Responsibilities:

  • Design, prototype, implement, deploy, and maintain features for NLP or AI-related projects

  • Provides direct input to project plans, schedules, and follows software methodologies.

  • Practice in the development of cross-functional software products under a micro-services styled architecture.

  • Work closely with teammates in a highly collaborative environment, as well as providing strong individual contributions.

  • Keep abreast of new technology developments(English documents and LLM papers)

    Requirements:

  • Hands on Python experience on data analysis & visualization.

  • Experience building software that deals with unstructured text data.

  • Knowledge of modern deep learning approaches to NLP, including but not limited to word2vec, seq2seq & FastText.

  • Knowledge of traditional machine learning algorithm and techniques, including but not limited to TF-IDF, n-gram, SVM & LSI.

  • Solid verbal and written communication skills

    LexisNexis, a division of RELX Group, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

    Please read our Candidate Privacy Policy (https://www.relx.com/careers/join-us/privacy) .

RELX is a global provider of information and analytics for professional and business customers across industries.

We help scientists make new discoveries, lawyers win cases, doctors save lives and insurance companies offer customers lower prices. We save taxpayers and consumers money by preventing fraud and help executives forge commercial relationships with their clients.

In short, we enable our customers to make better decisions, get better results and be more productive.

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