Data Scientist III

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?

We are seeking a Data Scientist III to help design and validate Agentic AI‑driven product capabilities within Protégé in Patent Sight. The 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 drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer‑facing solutions.

• 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.

• Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).
• Strong experience in machine learning, NLP, and LLM‑based modeling.
• Strong experience designing and running experiments, including model evaluation and iteration.
• Strong coding skills in Python.
• Experience with generative AI techniques (e.g., prompt engineering, RAG).
• Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.
• Experience designing agentic workflows and reasoning strategies, with hands‑on experience applying agent frameworks (e.g., Google ADK, Lang Chain, Lang Graph, Auto Gen) in real‑world use cases.
• Proficiency in data analysis tools.
• Strong foundation in statistics, modeling, and large‑scale text processing.

• Generous holiday allowance with the option to buy additional days.
• Health screening, eye care vouchers, and private medical benefits.
• Well‑being programs.
• Life assurance.
• Competitive contributory pension scheme.
• Save As You Earn share‑option scheme.
• Travel season ticket loan.
• Electric vehicle scheme.
• Optional dental insurance.
• Maternity, paternity, and shared parental leave.
• Employee Assistance Programme.
• RecaRES days to support charities and causes that matter.
• Employee resource groups with dedicated volunteer time.
• Employee discount scheme via Perks at Work.
• Flexible working hours to support work/life balance.

We are an equal‑opportunity employer. Qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.