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Data Scientist – Natural Language Processing (NLP)(m/w/x)
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
- English – Business 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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Data Scientist – Natural Language Processing (NLP)(m/w/x)
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
- English – Business 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
About the Company
LexisNexis Intellectual Property Solutions GmbH Company
Industry
Legal
Description
LexisNexis is a leading global provider of legal, regulatory, and business information, helping customers improve decision-making and outcomes with innovative tools.
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