Data scientist to design fairness audits and bias testing for AI-assisted people systems.
Design and conduct rigorous assessments to identify and mitigate bias across AI models and decision-support tools used in talent processes (hiring, performance, promotion, workforce planning). Evaluate end-to-end human-AI workflows, build scalable testing infrastructure, and translate findings into actionable recommendations for technical and executive teams. Requires deep expertise in algorithmic fairness, research design, statistical methods, and fluency in Python or R plus SQL.
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Found at a specialist agency · listed 1 September 2026 · InsideJobs links you to the original posting.