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LELexisNexis Intellectual Property Solutions GmbH Company

Data Scientist – Natural Language Processing (NLP)(m/w/x)

Bonn
Full-timeWith Home OfficeExperienced
AI/ML
Data Science

Applying transformer and generative models to legal/regulatory data, integrating embeddings with graph systems for production. Master's or PhD in CS/AI/Computational Linguistics, 3+ years building solutions required. Sabbaticals, shared parental leave available.

Requirements

  • Master’s or PhD in Computer Science, Computational Linguistics, Artificial Intelligence, or related discipline
  • 3+ years of hands-on experience building NLP solutions
  • Expertise in modern NLP techniques, evaluating, optimizing, and scaling models
  • Experience with knowledge graph design, construction, and NLP integration
  • Hands-on skills in Python and modern ML frameworks
  • Excellent problem-solving, communication, and agile collaboration skills
  • Familiarity with graph databases and distributed knowledge graph systems
  • Publications, patents, or conference presentations in NLP or ML

Tasks

  • Apply transformer and generative models to IP data
  • Design and enhance knowledge graph architectures
  • Integrate embeddings with graph-based systems
  • Prototype and validate new NLP approaches
  • Transition successful methods into production systems
  • Adapt state-of-the-art research to real-world problems
  • Publish technical reports and internal presentations
  • Author external publications or patents
  • Collaborate with stakeholders on customer-focused solutions

Work Experience

  • 3 years

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • PyTorch
  • TensorFlow
  • Neo4j
  • RDF
  • SPARQL

Benefits

Flexible Working

  • Flexible working hours
  • Healthy work-life balance

Generous Parental Leave

  • Shared parental leave

Learning & Development

  • Study assistance

Workation & Sabbatical

  • Sabbaticals

Other Benefits

  • Country specific benefits
  • Hiring process accommodations
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