Knowledge Transfer Associate - Kortext

Location: Dorset and Stirling Contract Type: Fixed Term for 24 months Working Pattern: Full time

The Post

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.

Hybrid role with key attendance at both businesses, with primary focus on our partnership based at Kortext Ltd, 2nd Floor, Loewy House, Aviation Park West, Hurn, Christchurch, Dorset, BH23 6EW

Description of Duties

• 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

Essential Criteria

• 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

For further information, including a full description of duties, essential criteria and details on how to apply, please click on the apply button above.

£48,337 to £57,666 per annum

• 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