KTP Associate - Predictive Modelling and Causal Inference Data Scientist

Grade UE07: £41,064 - £48,822 per annum, with an additional market pay supplement bringing the total salary to up to £60,000 per annum

Full-time: 35 hours per week

Fixed-term: 27 months

Location: Primarily based at Kodamai Limited's office in central Glasgow

The University of Edinburgh and Kodamai Limited have been awarded a Knowledge Transfer Partnership (KTP) funded by Innovate UK to embed advanced predictive modelling and causal inference capabilities into Kodamai’s secure-by-design AI agent platform. This innovative project will combine the expertise of Prof Gbenga Ibikunle (Finance) and Dr Zexun Chen (Predictive Analytics) at the University of Edinburgh Business School with Kodamai’s rapidly growing AI platform to develop scalable, trustworthy forecasting solutions for the financial services sector.

Kodamai Ltd is an early-stage start-up founded in Glasgow, U.K. We are pioneering a new era in the digital economy by building collaborative communities of AI agents. Our mission is to deliver a transformative wave of business automation, driving significant improvements in productivity, cost efficiency, and operational excellence. We aspire to become the future operating system for AI-driven enterprises. We are passionate about cultivating a diverse and inclusive workplace, where unconventional thinking and scientific rigor are core to our approach. Kodamai leads with innovation, conducting original AI research and applying rigorous mathematical foundations to deliver unique solutions for our clients. We believe our employees are our greatest asset. We foster a supportive, unified team that values open communication, humility, honesty, and teamwork. We actively encourage diverse perspectives and problem- solving, with a commitment to continuous learning and excellence

The Opportunity:

We are seeking an independent and motivated KTP Associate with expertise in predictive modelling, causal inference, applied mathematics, and statistics to drive the forecasting and decision science workstream of this ambitious project. Over 27 months, you will develop causal inference and probabilistic forecasting models for high-volume, heterogeneous data, build counterfactual “what-if” analysis capabilities for marketing, pricing, and operations, and integrate these into Kodamai’s production platform.

Your work will span six stages: from data landscape assessment and foundation building, through data engineering and baseline models, causal inference and counterfactual analysis, probabilistic forecasting and deep reinforcement learning, to pilot implementation with finance-sector customers, and finally evaluation, handover, and future roadmap planning. You will collaborate closely with a second KTP Associate focused on cybersecurity (Associate 1) to ensure the combined platform is both analytically powerful and secure.

As part of this role, you will have the opportunity to publish research in top-tier venues, develop production-grade AI systems, and gain significant commercial exposure in the rapidly growing AI and fintech sectors.

This post is full-time (35 hours per week), primarily based at Kodamai Limited’s offices in central Glasgow, with regular visits to the University of Edinburgh as required. The post will be jointly supervised by Dr Toby Smithe (CTO, Kodamai Limited) and the academic leads at the University of Edinburgh Business School (Dr Zexun Chen and Prof Gbenga Ibikunle). 

Whilst you will be employed by UoE, the details of your terms and conditions will be discussed further at interview.

Apply Before: 20/07/2026, 23:59

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