● A degree-level education and/or experience working in a quantitative, scientific, or analytical discipline (economics, mathematics, computer science, engineering, geography or similar).
● Strong numeracy, analytical and computer skills with a genuine interest in working with data.
● Working knowledge of Python. Not at a software engineering level, but sufficient to write, adapt and validate scripts for data investigation and automation tasks.
● An active interest in AI tools and their practical application to data analysis and investigative workflows.
● Strong attention to detail, with the ability to manage and prioritise multiple tasks simultaneously.
● Strong communication skills, (written, verbal, and listening), with the confidence to work across a global, cross-functional team.
● Problem-solving as a core character trait – someone who is motivated to find a root cause and see a fix through to completion.