Lead Learning Scientist

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.

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. 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.

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.

What you’ll be doing:

• Leading the design of learning goals, skill models, adaptivity logic and feedback systems across flagship client engagements.
• Creating and owning Faculty’s Learning Science Playbook — defining best practice for scaffolding, feedback loops, measurement rubrics and data instrumentation.
• Designing and overseeing rigorous evaluations — formative, summative and quasi-experimental.
• Partnering with product, data science and engineering leads within delivery squads to ensure learning systems are technically robust and pedagogically sound.
• Contributing learning science expertise to Faculty’s safety and assurance work.
• Coaching and mentoring colleagues across product, UX and data science to apply learning science principles.
• Acting as the internal and external subject-matter expert on learning science.

Who we’re looking for:

ESSENTIAL

• Expert-level knowledge of the learning sciences, instructional design, and cognitive or behavioural science.
• The ability to translate learning science into clear, specific requirements.
• Strong working practice in evaluating and measuring learning impact.
• Experience working with technical teams.
• Technical literacy in how AI systems are built.
• Excellent communication skills.

DESIRABLE (NOT REQUIRED)

• Hands-on experience building AI-driven or adaptive learning systems.
• Familiarity with LLM architectures, retrieval-augmented generation, evaluation harnesses or learning analytics pipelines.
• Experience across multiple client or product contexts.

Our Interview Process:

• Talent Team Screen (30 minutes)
• Project Deep Dive with the Head of Education (60 minutes)
• Case Study and Technical Interview (60 minutes)
• Cultural and Leadership Interview (60 minutes)

Our Recruitment Ethos: We aim to grow the best team - not the most similar one. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.

Some of our standout benefits:

• Unlimited Annual Leave Policy
• Private healthcare and dental
• Enhanced parental leave
• Family-Friendly Flexibility & Flexible working
• Sanctus Coaching
• Hybrid Working