NLP Specialist
RELX Group plc
NLD-North Holland-Amsterdam
58 dagen geleden

Are you looking for the next step in your career? We are looking for an enthusiastic NLP Specialist to join our team!

In line with the Elsevier corporate strategy of greater content volume, types and sophistication, the services that Elsevier provides are becoming increasingly dependent on Smart Content.

We are looking for an NLP Specialist who can focus on designing and creating systems that apply machine learning and information extraction techniques.

As an NLP Specialist, you will be working with our business units on developing our content and information offering to end customers.

As an NLP Specialist, you know of the state-of-the-art tooling in capturing content and translating human annotations to machine models, such as sequence models cast in HMMs, CRFs or similar methods, and also have had some exposure to deep learning techniques.

You are a hands-on person that does not care about Java or Python but about the right approach to the problem.

You will be working in Elsevier Operations with a varied and cross-functional team of IT and product colleagues to pilot and develop new methods of extracting and surfacing information relevant to our customers for new product development.

When successful, the NLP Specialist supports the implementation of industry-scale high-quality production systems. You will work closely with both the domain subject matter experts.

Sample projects may include translation of compound names, chemical property extraction and extraction of supplementary data in various forms.

This role is based in Amsterdam and reports to the Business Liaison Director - Corporate Markets

Information Extraction

  • You will bring active experience in Natural Language Processing into the organization. You will know the techniques to normalize texts, get texts out of PDFs and Xml files, identify the features and rules mechanisms that are necessary to capture the information desired from unstructured data.
  • You will bring new processes into the organization in order to improve (in cost and time-efficiency) the data annotation and information extraction processes that Elsevier owns.
  • You will also have enough experience with knowledge modelling and semantic technologies to address the complexities of translating unstructured information into structured form.

    Data mining

  • You will bring experience into the organization on extraction of unstructured and semi-structured information. Other fields of data mining may also be highly relevant ( e.
  • g. processing bio-informatics data, image or another signal processing).

  • You will be applying and developing on these techniques, You will drive the implementation of automated recognition and annotation processes, in order to improve (in cost and time-
  • efficiency) the data excerption processes that Elsevier is engaged with.

  • Using the available base data, you will actively promote new ideas of using this data to enhance our competitive offerings.
  • Contribute to the content strategy

  • You will actively contribute to product strategy by identifying and ingesting new technical capabilities to forward Elsevier mission of leading the way in advancing science, technology and medicine.
  • Using the available base data, you will actively promote new ideas of using this data to enhance our competitive offerings.

    It is a definite advantage if you have the vision and skill to use visualization tools to present extracted data to stakeholders or end-users.

    Data analytics to support businesses and products; visualization techniques

  • You will analyze extracted information to drive such information retrieval, inferencing and advanced data analytics. Data analytics can also be used to identify research trends, or drive decisions for end users.
  • A trusted resource in new development projects in Elsevier, you will also be able to act as a liaison between IT developers and (content) subject matters experts, translating information needs into software development
  • Serve as internal and external specialist on Machine Learning techniques

  • You will serve as one of the NLP experts in the wider Content and Innovation team. Actively contributing to a culture of product and process innovation, you will be a trusted resource in new development projects in Elsevier.
  • You may coach other team members on a need basis and his or her expertise may be called on for specific areas that he or she is more specialized in.
  • Also to external partners, you may represent Elsevier's NLP team.

  • Presentation skills and a good command of English are important.
  • What you should bring

  • Technical skills should include software development experience in a curly brace language or Python, as well as scripting abilities.
  • Writing queries, handling data (ETL), and experience using *nix systems, open source software and libraries.
  • Proven experience with data normalization and processing, NLP, and information extraction.
  • Experience in industry in Life Sciences disciplines is a plus.
  • Experience working with a variety of stakeholders at the mid and senior management level.
  • Is able to write design specifications, tests, maintaining documentation and perform code reviews.
  • University graduate (Master of PhD level) computer science, computational linguistics or an associated area.
  • Experience working with Machine Learning in annotation environments especially in entity extraction, information clustering and data mining is required;
  • industry experience a big bonus.

  • Ability to drive new developments and implement process changes and disruptive technologies in the organization.
  • Familiarity with agile software development.
  • Good communication and documentation skills with the ability to convey complex technical concepts to non-technical professionals.
  • Knows how to improve efficiency of existing code, always considering performance factors.
  • What we offer

    We welcome you to a truly global, dynamic and challenging environment with great opportunities for personal development.

    Elsevier’s benefits are very competitive and the summary below will give you an idea of what you can expect when joining Elsevier in the Netherlands.

  • Competitive salary and a 13th month
  • 27 days of leave
  • Attractive collective health care insurance package with considerable reduction rates
  • Solid Pension Plan, with a choice between a collective pension plan an individual pension plan
  • Profit share or bonus plan subject to the company annual results
  • You can participate in the convertible personnel bond scheme
  • Flexible working arrangements
  • Travel allowance for commuting
  • Reductions to several personal insurance packages due to our collective agreements
  • Free in-house sport facilities
  • Numerous training, coaching and e-learning modules for long term job opportunities and development
  • Several local and global networking communities to share best practices and knowledge
  • Various social responsibility programs, channeling knowledge and strengths to help communities around the world improve education, science, health care and protect the environment.
  • An assessment or business case could be part of our selection procedure. A pre-employment screening will be part of our recruitment procedure.

    Elsevier does not accept unsolicited assistance from vendors including and without limitation, search firms, staffing agencies and recruiting agencies for this employment opportunity.

    Resumes submitted by external vendors and third parties to any employee via-email, the Internet or any other method without a valid, written underlying agreement between parties for this position will not be considered.

    No fee or other compensation will be paid in the event the applicant is hired by Elsevier as a result of an unsolicited introduction

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