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Modelling Engineer
Job in
Maidenhead, Berkshire, SL6 4JP, England, UK
Listed on 2026-08-16
Listing for:
IO Associates
Contract
position Listed on 2026-08-16
Job specializations:
-
Business
Data Scientist
Job Description & How to Apply Below
* We are supporting a leading consultancy on a significant project within the defence logistics sector and are looking for experienced Digital Modellers to join the team. This is an opportunity to work on a sensitive, technically complex programme focused on data science, operational analysis and quantitative modelling, with a particular emphasis on logistics and cost modelling.
The Role We are looking for 1–3 experienced Digital Modellers who can work with a high degree of autonomy and contribute quickly to the development of analytical and modelling solutions. You will be involved in areas such as:
Developing logistics and logistical flow models Building cost models Developing stock and flow models Creating event-based / discrete-event logistical models Applying quantitative analysis and data science to complex logistics problems Translating real-world operational challenges into robust computational models Working with stakeholders to understand requirements and communicate modelling outputs Essential Experience Current SC Clearance – essential Proven experience in programming and quantitative modelling Strong background in data science, operational analysis or a closely related discipline Experience developing one or more of:
Logistics models Cost models Stock and flow models Logistical flow / event-based models Ability to work independently and make an immediate contribution Strong analytical and problem-solving skills Python experience is currently used within the project, but the programming language is not prescriptive. Candidates with strong modelling experience in other languages are encouraged to apply. Contract & Location Initial contract:
From next week through to December
Location:
Predominantly remote Some travel to customer sites may be required Potential customer locations include Reading, Preston and Warton Flexibility on location is available for the right candidate If you are an experienced Digital Modeller with a background in logistics, operational analysis, data science or quantitative modelling, and are looking for an opportunity to work on a complex defence-related programme, we would be keen to hear from you.
Interested in hearing more? Please get in touch with Rebecca Long on / r.long @
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