Product Analyst managing the evolution of digital sports products like Cartola and ge. Collaborating across teams to enhance user experience and monetization strategies.
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
Data Lead at Bifrost Studios building core data and analytics systems for new ventures. Collaborating with founders to streamline operations and establish scalable infrastructures.
Data Science Engineer building the software and data infrastructure for media advertising at Medialab. A 1 year university placement role focusing on AI and automation in data science.
Data Scientist for climate action progress tracking at C40. Analyzing climate - related data and managing data warehouses for performance measurement across global cities.
Product Data Scientist responsible for co - building an Agentic AI framework. Collaborating with product teams while working within a hybrid model in Warsaw, Poland.
Staff Data Scientist at Clio developing scalable ML systems and strategic experimentation frameworks. Leading high - impact modeling projects and mentoring junior team members.
Manager, Data Science and AI delivering actionable insights and AI - powered analytics tools for Pfizer’s Commercial organization. Leading execution of AI/ML models and facilitating communication of data - driven insights.
Data Scientist at Votorantim Cimentos focusing on Sales & Marketing data initiatives and model development. Collaborating with stakeholders to deliver effective data solutions.
Senior Data Scientist at INSZO applying data - driven solutions for improved patient outcomes in healthcare. Working on complex challenges using large datasets and innovative algorithms.
Data Scientist leveraging expertise in statistics, machine learning, and AI at Simplot. Contributing to diverse, challenging projects to create business value.