Data Scientist

Our client is a global legal and business information company. Data Scientist III 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: Our Intellectual Property Solutions (our client) 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 world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.

Protégé in PatentSight is our client's 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 Data Scientist III to help 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.

Collaborate with product, IP experts, and engineers to align solutions with user needs.

Requirements

Degree in a quantit...

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