Our education team, part of Faculty’s Public Services Business Unit, works with the organisations that shape education — from governments and school groups, to publishers, education companies, and assessment organisations — to design, build and assure AI systems in high-stakes settings where safety, accuracy and efficacy genuinely matter.
Recent work includes national education infrastructure, AI tutoring, assessment and content-quality systems, and the safety and evaluation of AI used by children. The market we serve is shifting from “can AI do it?” to “can you prove impact?”. Our clients increasingly want help building AI solutions that are engineered to improve learning outcomes, teacher time, and quality, and that are safe by design - and that is precisely why this role exists.
As Lead Learning Scientist, you will ensure that our clients’ AI-powered education solutions are grounded in learning science, measurably effective, and set a global standard for what trustworthy AI in education looks like. You will define and lead the learning science discipline at Faculty: setting the strategy for learning design and evaluation, creating and owning our Learning Science Playbook, and ensuring the systems we build genuinely improve how people learn.
Working closely with senior leadership and multidisciplinary delivery teams, you will shape the design of scalable, data-rich learning systems in close partnership with product, engineering and data science, and guide colleagues to embed best-in-class learning science into everything we design and build for clients.
This is a founding leadership mandate, and the variety and stakes are unusual: in a single year you might shape national curriculum-grounded infrastructure, the evaluation architecture for a high-stakes assessment product, and the safety case for an AI system used by children — in an organisation that treats evidence, evaluation and safety as the product, not a compliance afterthought.