Lead Learning Scientist

Overview

In this leadership role, you define and advance learning science at Faculty, shaping learning design, evaluation, and playbooks for AI-powered education solutions. You’ll work with product, engineering and data science to build scalable, data-rich learning systems that measurably improve learning outcomes. You will lead rigorous evaluations and mentor teams, contributing to safety and assurance across education-focused AI. This is a founding leadership mandate in a mission-driven, cross-functional environment.

Pay / Benefits

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

Responsibilities

• Lead design of learning goals, skill models, adaptivity logic and feedback systems across flagship engagements
• Create and own Faculty’s Learning Science Playbook with scaffolding, feedback, measurement rubrics and data instrumentation
• Design and oversee formative, summative and quasi-experimental evaluations to prove learning impact
• Collaborate with product, data science and engineering to ensure robust, pedagogically sound learning systems
• Contribute learning science expertise to safety and assurance work for education AI systems
• Coach and mentor colleagues across product, UX and data science in applying learning science
• Represent Faculty as internal and external subject-matter expert on learning science in strategic discussions with stakeholders
• Shape national curriculum-grounded infrastructure and evaluation architectures within high-stakes educational contexts

Key requirements

• Expert-level knowledge of learning sciences, instructional design, and cognitive/behavioural science
• Ability to translate learning science into actionable requirements for technical teams
• Experience evaluating learning impact with study design and data collection decisions
• Experience collaborating with engineers, data scientists or product developers to influence system design
• Technical literacy in how AI systems are built and a willingness to deepen knowledge
• Excellent communication skills to influence senior stakeholders and represent the discipline externally

• Excellent communication and influencing abilities
• Strong stakeholder management
• Mentoring and coaching
• Learning sciences expertise
• Instructional design and pedagogy
• Data-driven evaluation methods

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