AI Scientist developing AI solutions and prototypes for Salesforce's applied science team. Collaborating with product and engineering to innovate and enhance AI - driven customer experiences.
About the role
- Data Scientist specializing in Natural Language Processing (NLP) at LexisNexis. Building and optimizing language technologies for intellectual property data interpretation and insights.
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) with experience evaluating, optimizing, and scaling NLP 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, with experience collaborating in cross-functional, agile teams
Benefits
- Flexible working hours
- Numerous wellbeing initiatives
- Shared parental leave
- Study assistance
- Sabbaticals
- Health and wellness programs
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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