Hybrid Data Scientist, NLP

Posted 4 weeks ago

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About the role

  • Data Scientist/NLP Expert working on language technologies for intellectual property data. Collaborating with a team to enhance search and predictive insights using NLP and graph techniques.

Responsibilities

  • Apply state-of-the-art techniques in embeddings, transformers, and generative language models to IP data
  • Design and enhance knowledge graph architectures to capture domain knowledge and enable advanced reasoning
  • Integrate embeddings and NLP methods with graph-based systems to power knowledge-driven insights
  • Prototype and validate new approaches, transitioning successful methods into production-grade systems in collaboration with AI engineering teams
  • Stay current with state-of-the-art NLP and graph research, applying and adapting new methods to real-world problems in intellectual property
  • Contribute to the internal knowledge base by publishing technical reports, presenting at internal forums, and, where appropriate, authoring external publications or patents
  • Work with product managers and business stakeholders to deliver customer-focused solutions with measurable impact

Requirements

  • Master’s or PhD in Computer Science, Computational Linguistics, Artificial Intelligence, or related discipline
  • 3+ years of hands-on experience building NLP solutions in a research or commercial environment
  • Proven expertise in modern NLP techniques (e.g., semantic embeddings, transformer architectures, generative models)
  • Strong experience with knowledge graph design, construction, and integration with NLP systems
  • Hands-on skills in Python and modern ML frameworks (e.g., PyTorch, TensorFlow)
  • Excellent problem-solving and communication skills

Benefits

  • Working flexible hours
  • Numerous wellbeing initiatives
  • Shared parental leave
  • Study assistance
  • Sabbaticals

Job title

Data Scientist, NLP

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

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