At a Glance
- Tasks: Join Kortext to revolutionise digital learning and enhance student engagement through innovative analytics.
- Company: Be part of a leading global digital learning company with a mission to empower students.
- Benefits: Enjoy a competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with excellent career prospects and a commitment to diversity and inclusion.
- Why this job: Make a real impact on education while collaborating with top academics and industry leaders.
- Qualifications: A degree in a quantitative field and a passion for data science and analytics.
The predicted salary is between 50000 - 50000 £ per year.
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
- Key Responsibilities
- 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.
Essential Criteria
- Essential Skills and Attributes:
- 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.
Desirable Criteria
- Desirable Skills and Attributes:
- 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.
Additional Information
- KTP Associate: Data Scientist (Engagement Analytics) Associate Kortext and University of Stirling.
- Full time (37.5 hours per week).
- Fixed term for 24 months.
- Salary: £50,000 p.a.
- Location: 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.
- The closing date for applications is midnight on Sunday 06 December 2026.
- Interviews are expected to take place on Wednesday 06 January 2027.
- There is an expectation that work will be undertaken in the UK.
- This role may be eligible for sponsorship depending on candidate circumstances.
The University of Stirling recognises that a diverse workforce benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers and welcome applications from those who would contribute to further diversification of our staff and ensure that equality, diversity and inclusion is woven into the substance of the role. We strongly encourage applications from people from diverse backgrounds including gender, identity, race, age, class, and ethnicity.
Behaviours and Competencies
- The role holder will be required to evidence that they can meet the qualities associated with the following behavioural competencies, as detailed within the AUA Competency Framework:
- Managing self and personal skills.
- Delivering excellent service.
- Finding solutions.
- Identifying opportunities for innovation.
- Embracing change.
- Using resources effectively.
- Engaging with the wider context.
- Developing self and others.
- Working together.
- Achieving Results.
About Us
The Stirling Business School (SBS) at the University of Stirling is a centre of academic excellence that offers innovative, practical courses in business and management combined with research that makes a difference to business and society. We place sustainable and responsible business at the heart of our educational outlook, underpinned by world-class research. We are interdisciplinary by nature, bringing innovative solutions to real world issues. We are integrated into the local business community and act as a hub for knowledge creation and exchange, and we are proud that our industry collaborations and global partnerships benefit students, businesses and the community.
About Kortext
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.
The University
The University of Stirling is Scottish University of the Year 2027 and UK Sports University of the Year 2027 (Daily Mail University Guide). The University of Stirling is committed to providing education with a purpose and carrying out research which has a positive impact on communities across the globe. Driven by our mission to be the difference, we are addressing real issues, providing solutions, and helping to shape society.
Knowledge Transfer Associate - Kortext employer: University of Stirling
The University of Stirling is an exceptional employer, offering a dynamic and inclusive work environment that fosters innovation and collaboration. With a strong commitment to employee development, the University provides numerous opportunities for professional growth and advancement, alongside a flexible working framework that supports a healthy work-life balance. Located in a stunning campus ranked among the best in the UK, employees benefit from a vibrant community and a culture that values diversity and inclusion, making it an ideal place for passionate marketing professionals to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Knowledge Transfer Associate - Kortext
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like University of Stirling!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Knowledge Transfer Associate - Kortext at University of Stirling.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like University of Stirling.
✨Apply Directly through Our Website
When you find a suitable opening like Knowledge Transfer Associate - Kortext at University of Stirling, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Knowledge Transfer Associate - Kortext
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at University of Stirling, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at University of Stirling. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at University of Stirling
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at University of Stirling!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
