hackajob is partnering directly with LexisNexis to hire for this role.
Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements.
Senior Data Scientist I
Excited to uncover insights from complex data and turn them into impactful business decisions?
Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data?
About the team:
LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the worlds most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.
Protégé in PatentSight is LNIPs next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics.
About the role:
We are seeking a Senior Data Scientist I to help with the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions.
Key Responsibilities:
- Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search).
- Define agentic workflows and reasoning strategies for multi-step IP tasks.
- Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).
- Analyse large-scale IP datasets to extract insights and improve model performance.
- Establish best practices for model evaluation, validation, and benchmarking.
- Translate experimental results into clear product recommendations and business impact. xgikmsk
- Collaborate with product, IP experts, and engineers to align solutions with user needs.
Senior Data Scientist I in London employer: Hackajob
Joining Google as a Security Platform Engineer in the UK Public Sector means becoming part of a dynamic and innovative team dedicated to delivering secure private cloud services for critical customers. With a strong emphasis on employee growth, you will have access to cutting-edge technology and collaborative opportunities that foster professional development. The inclusive work culture at Google encourages creativity and teamwork, making it an exceptional employer for those seeking meaningful and impactful work in a supportive environment.
