KTP Associate: Data Scientist (Engagement Analytics)

• Conduct Diagnostic and Competitor Analysis - undertake a comprehensive review of Stream 1.0 and analyse competitor approaches to establish a robust technical and commercial foundation for future development
• Design and Develop the Stream 2.0 Framework - create a proprietary, research-led framework that identifies, measures and operationalises student engagement risk indicators
• Build Predictive Modelling Solutions - translate psychological and behavioural research into observable data signals, computational logic and scalable predictive models
• Lead Research-to-Model Implementation - establish a structured pipeline that converts academic research findings into commercially viable and technically robust solutions
• Validate and Optimise Processes - develop and implement scalable validation processes to ensure models are accurate, reliable, actionable and aligned with institutional practices
• Drive Business Integration and Stakeholder Alignment - work closely with Kortext, higher education institutions and internal stakeholders to ensure Stream 2.0 delivers meaningful customer value and is fully embedded within operational processes
• Manage Academic Collaboration and Knowledge Exchange - collaborate with University of Stirling academics, contributing to research dissemination, knowledge transfer activities, publications and conference presentations, The University of Stirling’s Marketing, Entrepreneurship and People subject group at the University of Stirling Business School is seeking an ambitious and talented KTP Associate to join a 24-month Knowledge Transfer Partnership (KTP) with our partner Kortext, a global leader in digital learning and student engagement solutions.

This exciting role offers the chance to embed cutting-edge academic thinking into commercial practice, supporting the evolution of Kortext stream into a second-generation engagement intelligence and analytics platform designed to support successful student outcomes through maximising student retention.

• Masters (or equivalent) or bachelor’s degree in a quantitative subject (mathematics, statistics, computer science, data science)
• An ability/aptitude to develop algorithms and use tools and software relating to data science
• An ability to interpret and analyse data, draw conclusions and make recommendations
• Strong interpersonal skills with an ability to communicate and relate to a variety of professionals at different levels
• Ability to explain complex concepts to technical and non-technical audiences
• Evidence of commitment to new skill development and continuous learning
• Demonstrable ability to self-manage complex tasks and deadlines, * A PhD in a highly quantitative discipline (mathematics, statistics, computer science, data science)
• Experience of using a wide range of research methodologies (including qualitative approaches) in developing research projects
• Experience of project management

Founded in 2013, Kortext is a global leader in digital learning and student engagement solutions. We support institutions worldwide with our AI-powered, cutting-edge content discovery and study products, market-leading learner analytics, and streamlined workflows.

Our mission is simple: to help every student fulfil their potential. We’re growing quickly and looking for passionate individuals who share our vision. You’ll join a team that collaborates with our education partners across the globe, working together to make a difference.