Senior Analytics Software Engineer

DSV – Global transport and logistics

Working at DSV means playing in a different league.

As a global leader in transport and logistics, we have been on an extraordinary journey of growth. Let’s grow together as we continue to innovate, digitalise and build on our achievements.

With close to 160,000 colleagues in over 90 countries, we work every day to offer solid services and meet our customers’ needs and help them achieve their goals. We know that the best way to achieve this is by bringing in new talent, fresh perspectives and ambitious individuals like you.

At DSV, performance is in our DNA. We don’t just work – we aim to shape the future of logistics. This ambition fuels a dynamic environment built on collaboration with world-class team players, accountability and action. We value inclusion, embrace different cultures and respect the dignity and rights of every individual. If you want to make an impact, be trusted by customers and grow your career in a forward-thinking company – this is the place to be.

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At DSV we're building the world’s leading logistics and transport network. With this exciting growth comes opportunity — and we’re looking for new talent to join us.

Role: Senior Analytics Software Engineer
Location: PARC Institute of Manufacturing, Logistics and Inventory, Cardiff Business School, Cardiff University, CARDIFF CF10 3EU, UK

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.

What will you be doing?

•    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.

What can we offer you?

Competitive Salary Package and an opportunity to be a part of and grow within a driven and successful company, with a team of 160,000, operating in over 90 countries.
In addition, we can offer access to a selection of employee benefits, such as:

Enhanced Annual Leave Entitlement from your start, which increases with length of service.
Salary Sacrifice Car Scheme for Ultra-Low Emissions Cars
Salary Sacrifice Cycle Scheme
WeCare App, for support with physical and mental wellbeing, including access to GPs for you and your dependents.
LifeWorks app for access to cashback and discounts on high street and online brands.
Life Insurance and which includes access to expert probate support.

Next Steps

If this sounds like the next step for you, please follow the links and apply with 

Detailed CV. including employment history, technical skills, key software projects, deployment experience, and any work with analytics, forecasting, or operational data.
Cover letter, maximum 1 page. This should explain briefly why you fit the role, highlighting your most relevant experience in Python engineering, cloud deployment, and client-facing analytical tools.
Please be aware that all successful candidates will undergo necessary right-to-work checks and certain sites require 5-years’ worth of referencing and criminal record checks.

We do not accept CV details from Recruitment Agencies unless DSV have engaged directly regarding the role requirements beforehand