Quadrant
AI Data Research Intern
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Who are we?
Quadrant is an London-based AI Growth Intelligence Platform that helps brands understand and optimize how they appear across AI-driven discovery, search, and recommendation ecosystems such as ChatGPT, Perplexity, Gemini, Claude, and emerging AI agents. The platform reveals how AI perceives a brand, what it communicates to users, and how that brand compares with key competitors. This insight enables organizations to take control of their narrative, identify new growth opportunities, and strengthen their visibility in the evolving AI search landscape. Quadrant is a London-based AI startup working with forward-thinking companies that want to turn AI search into a strategic growth channel and stay ahead in a rapidly changing digital environment.
Role Description:
The R&D Data Research Intern will work directly with the CTO on research and data projects that shape Quadrant's product and methodology. This is a hands-on role focused on understanding how AI models behave, how brands are represented across AI platforms, and how this behaviour can be measured systematically.
The intern will design and run experiments, develop prompt sets, collect and structure AI-generated data, and identify patterns, trends, and anomalies across large datasets. They will contribute to building research frameworks, taxonomies, and methodologies around areas such as AI visibility, citations, recommendations, sentiment, ranking behaviour, and competitive positioning.
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The role involves working on open-ended problems where there may not be an established methodology or obvious answer. The intern will be expected to form hypotheses, investigate independently, analyse results, and turn findings into clear recommendations for product and R&D development.
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This is an opportunity to gain hands-on experience working with real AI and LLM data in a fast-moving startup environment, with direct exposure to the CTO and the opportunity to contribute to product decisions and new R&D initiatives.
Qualifications
- Currently pursuing or recently completed a degree from a top-tier university in a relevant field such as Statistics, Engineering, Computer Science, Data Science, Machine Learning, Mathematics, Economics, Analytics, or a related quantitative discipline.
- Strong Analytical Skills and Data Analytics capabilities, with the ability to work with complex datasets, identify patterns, and draw meaningful conclusions.
- Strong Research and Problem-Solving skills, with the ability to investigate open-ended questions and develop structured approaches to ambiguous problems.
- Hands-on experience working with data through coursework, research, a dissertation, internship, or personal project.
- Working knowledge of Python, SQL, Excel, or Google Sheets. Experience with data analysis, statistics, machine learning, NLP, or data visualization is a plus.
- Strong attention to detail and an ability to identify inconsistencies, anomalies, and patterns within large datasets.
- Curiosity about AI, LLMs, AI Search, and emerging technologies, with a genuine interest in understanding how these systems work.
- Ability to work independently, take ownership of projects, and proactively propose ideas rather than waiting for instructions.
- Comfortable working in a fast-paced startup environment and experimenting with new approaches when there is no established playbook.
- London-based or able to work with a London-based startup on a remote basis.
- Available for a 3-month internship, with the potential to convert to a full-time role based on performance and mutual fit.
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