Software Engineer

DSV, in collaboration with the PARC Institute of Manufacturing, Logistics and Inventory at Cardiff Business School, is seeking an experienced analytics-focused software engineer to support the development and deployment of advanced decision-support solutions for inventory-forecasting and returns management. The successful candidate will work for DSV, the largest logistics provider in the world, but be based in Cardiff University.

The role focuses on designing, implementing, and deploying production-grade, cloud-based and client-facing planning decision-support software for normal demand-driven and reverse-logistics operations. You will work with real operational data, contribute to model development spanning classical time series, ML-based, and probabilistic approaches, and help translate analytics into scalable tools used in practice. The postholder will work closely with, and have direct access to, world-leading experts in inventory forecasting, while retaining clear ownership of technical delivery.

This role offers the opportunity to work on applied analytics challenges in a large-scale logistics context, combining real-world impact, software ownership, and close collaboration with leading experts.

Responsibilities

• Develop and deploy analytics and inventory/returns decision-support software using Python (R and VBA desirable).
• Take end-to-end ownership of the software development lifecycle, including design, model implementation, code optimisation, testing, documentation, version control (Git), and deployment.
• Build native and web-based applications that integrate analytical outputs into operational and client-facing decision-making.
• Collaborate with academic and industry stakeholders to ensure solutions are robust, scalable, and aligned with business needs.
• Support applied consulting activities and contribute to clear technical and user documentation, alongside reporting.

About You

• Strong experience in Python-based software development.
• Proven experience delivering and deploying production-ready, cloud-based applications.
• Solid version control practices using Git.
• Experience working with operational, supply chain, or logistics data is preferred.