UX researcher

UX Researcher — AI & Quantitative Specialist

AI-Native Research Quantitative • Must Behavioural Data Mixed Methods Foresight (WOW)

About the Role

We are looking for a curious, data-savvy UX Researcher to join our team as a contactor. This is not a traditional research role — it sits at the intersection of AI-augmented research, advanced quantitative analysis, and cross-team capability building.

You will help accelerate our journey toward an AI-Native research practice by bringing hard-won external experience in using AI tools within research workflows, and by embedding behavioural data fluency across the team. You will work alongside researchers, designers, and product managers — influencing how we work, not just what we deliver.

What You'll Do

AI-Augmented Research

* Apply AI tools actively in day-to-day research workflows — synthesis, analysis, screener design, report generation, and more

* Lead and co-create internal initiatives that accelerate the team's AI adoption and maturity

* Share external best practices and bring fresh thinking to how AI can transform research at scale

* Act as an internal champion for AI-native ways of working, coaching peers and running enablement sessions

Quantitative Research & Statistics

* Design, execute, and analyse quantitative studies including large-scale surveys, concept tests, and benchmark studies [MUST HAVE]

* Apply statistical methods confidently: significance testing, regression analysis, factor analysis, conjoint, MaxDiff, and more [MUST HAVE]

* Build clear, insight-led outputs from quantitative data that drive product and business decisions [MUST HAVE]

* Partner with data and analytics teams to ensure research findings are grounded in robust methodology

Behavioural & Product Data Analysis

* Extract, interpret, and storytell with behavioural data from platforms such as Power BI, Amplitude, Mixpanel, or similar [MUST HAVE]

* Triangulate product usage data with primary research to surface richer, more actionable insights [MUST HAVE]

* Identify patterns in user behaviour that inform hypothesis generation and research prioritisation

* Collaborate with engineers and researchers to ensure the team has access to the right data sources and behavioural signals

Qualitative Research

* Plan and facilitate user interviews, usability studies, diary studies, and contextual enquiries

* Apply thematic analysis, affinity mapping, and Jobs-to-be-Done frameworks

* Translate qualitative findings into compelling narratives for product, design, and leadership audiences

Cross-Team AI Acceleration

* Lead AI research initiatives end-to-end — from scoping to delivery — while actively partnering with fellow researchers throughout [MUST HAVE]

* Work alongside researchers across the team to co-develop AI-assisted processes, templates, and playbooks that embed into everyday ways of working [MUST HAVE]

* Collaborate with researchers on shared AI projects, bringing structure and momentum while creating space for others to upskill alongside you

* Identify bottlenecks in research operations and propose scalable, AI-enabled solutions developed with the team, not just handed to them

* Contribute to a culture of continuous learning, methodological rigour, and shared ownership of the team's AI maturity