Role overview
Shape the future of Procurement by transforming high‑quality data into powerful insights, driving smarter decisions through advanced analytics, AI, and automation.
Do you like to play a central role in building reliable data foundations and ensuring our systems deliver trustworthy, actionable insights. Your work will directly enable smarter sourcing, stronger supplier management, and a more intelligent, future‑ready Procurement. Then Canon Production Printing in Venlo is looking for you!
Questions about this position?
Bram Frings, Recruitment, +316 – 29693168 / [email protected]
*Data Scientist Procurement
40 hours per week, hybrid in Venlo (NL)**
This role is part of the global Procurement organization, consisting of approximately 60 professionals. The organization is structured into multiple teams operating globally from Venlo, Poing, and Singapore, collectively responsible for the procurement of all products and services.Key stakeholders are manufacturing, and R&D, who are jointly responsible for the development, manufacturing, and on-time delivery of best‑in‑class, high‑mix, low‑volume CPP products. Besides these stakeholders our suppliers are also key for our success. The manufacturing sites are in different stages of their technical and economic life cycles, each presenting distinct challenges. Production lines consist of advanced, high‑tech equipment utilizing a wide range of technologies, including micro‑precision manufacturing, cleanroom environments, as well as process installations for the production of toner and inks.
What you'll work on
A key focus is improving data quality and making data more accessible in a structured and sustainable way. This provides the foundation for future predictive models, such as spend forecasting and supplier risk management. Alongside cleaning and enriching procurement data, you also work on developing AI‑driven models and tools that enhance Procurement processes.
You will also play a crucial role in rolling out analytics and AI tools across Procurement teams, ensuring continuous improvement of master data quality through effective monitoring and follow‑up. Alignment with our Operational Excellence team on data improvement and system upgrade initiatives is an important part of the role. You need to connect to support seamless system and data integration. The impact of this position spans multiple areas:
- Maintain and improve data quality and making data more accessible in a structured and sustainable way
- Support predictive analytics to anticipate market trends, optimize costs, and strengthen supplier risk management.
- AI‑driven supplier analytics that help identify best‑fit suppliers based on quality, competitiveness, and compliance. Increased efficiency through automation and smart AI tools, enabling Procurement to focus more on tactical and strategic work.