Kaiba

Supply Chain Digital Engineer (0.6 FTE)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Supply Chain Digital Engineer (0.6 FTE) for 13 months, offering £39,000 pro rata. Key skills include Python, MongoDB, and engineering expertise. Hybrid work is available, with one day per week at the University of Strathclyde.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
177
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🗓️ - Date
December 19, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
Glasgow, Scotland, United Kingdom
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🧠 - Skills detailed
#Datasets #Computer Science #AI (Artificial Intelligence) #Python #JSON (JavaScript Object Notation) #XML (eXtensible Markup Language) #Programming #Documentation #MongoDB
Role description
EnDAI – Environmental Diagnostic AI | Kaiba Kaiba is a technology spinout from the University of Strathclyde, developing AI-driven tools to support sustainable, data-led decision-making in manufacturing and supply chains. We are recruiting a Supply Chain Digital Engineer to support the development of EnDAI, an Environmental Diagnostic AI platform funded by a 13 months Grant. EnDAI enables OEMs and manufacturers to quantify and reduce environmental impact - particularly Scope 3 emissions - across metal manufacturing supply chains using engineering and process data rather than traditional financial-based approaches. This role offers the opportunity to work on applied industrial AI at the intersection of manufacturing, data, and sustainability, in collaboration with the University of Strathclyde and a Fortune-500 industrial partner. • Contribute to the development of EnDAI’s digital architecture and environmental estimation models • Translate product, process, and supply-chain data into structured digital formats • Develop algorithms to estimate Scope 1, 2 and 3 CO₂ emissions across manufacturing and logistics • Support the development of a recommendation engine identifying lower-impact technology and supply-chain options • Analyse real industrial datasets and support case-study testing • Produce technical documentation aligned with grant and project milestones Your skill set - What we are looking for Essential • MSc, MEng, PhD or equivalent experience in engineering or computer science • Experience delivering technical or engineering projects in industry or research • Understanding of manufacturing processes and engineering drawings • Python, MongoDB (or equivalent), JSON/XML • Strong analytical and problem-solving skills Desirable • Object-oriented programming • Optimisation or meta-heuristic methods (e.g. genetic algorithms) • Probabilistic or sustainability modelling experience Contract & Location • Fixed-term to 14 February 2026 • 0.6 FTE (three days per week or equivalent) • Salary: £39,000 pro rata • Hybrid working (remote with approx. one day per week at the University of Strathclyde) • Fully remote arrangements may be considered Visa sponsorship is not available. Priority may be given to candidates with immediate availability.  Application Submit a CV and brief cover letter or direct enquiries to fraser@kaiba.co.uk or daniele@kaiba.co.uk Please check the full role details, available at: https://www.kaiba.co.uk/careers/