Internship Source-to-Pay (S2P) Digital Transformation & AI Projects

dsm-firmenich; Maastricht; On-site; EUR 5,800 - 6,500; Part time

Job summary

dsm-firmenich Maastricht invites motivated students to join its Procurement team for an internship focused on AI-driven Source-to-Pay transformations. You will design, test, and deploy process orchestration, analyze procurement workflows, and help implement AI-powered agents to improve efficiency.

Gain hands-on experience at the intersection of procurement, AI, and process improvement, contributing to strategic transformation in a global organization with an international team.

Qualifications

• Currently enrolled in a relevant field and eligible for an internship.
• Fluent in English as required by the role.
• Interest in AI, automation and procurement processes.

Responsibilities

• Support design and deployment of process orchestration across Source-to-Pay journeys.
• Analyze procurement processes and identify AI/automation opportunities.
• Support development and validation of AI-powered procurement agents.
• Research emerging AI technologies and contribute to transformation initiatives.

Skills

AI & automation

Process mapping

Project support

Stakeholder collaboration

Data analytics

Education

International Business

Business Transformation

Data & AI

Supply Chain

Business Analytics

Job description

Are you a motivated student with a passion for digital transformation, artificial intelligence, and business process improvement? Join the Procurement team at dsm-firmenich for an internship where you will support the Source-to-Pay (S2P) Transformation team in implementing AI-driven solutions, developing intelligent agents, and driving the adoption of new capabilities. This is your opportunity to gain hands‑on experience at the intersection of procurement, AI, and process improvement while contributing to strategic transformation initiatives in a global organization.

What You’ll Do

During your internship, you will support the design and deployment of process orchestration capabilities across Source-to-Pay user journeys. You will analyze procurement processes, engage with procurement professionals to identify opportunities for AI and automation, and support the implementation and validation of innovative use cases. In addition, you will contribute to the development of AI-powered procurement agents, helping design, test, refine, and document solutions while researching emerging AI technologies and recommendations for future transformation initiatives.

Key Achievements

End Goals

• Contributed to the implementation of AI-driven solutions and process orchestration capabilities that enhanced efficiency and user experience across Source-to-Pay processes.
• Supported the development, testing, and adoption of AI-powered procurement agents, delivering practical recommendations for future AI and automation opportunities within Procurement.

What We Offer

• AI in Business: Gain hands‑on experience applying artificial intelligence to real procurement processes and business challenges in a global organization.
• Digital Transformation: Contribute to the procurement transformation and orchestration initiatives, learning how large-scale business transformations are designed and implemented.
• Procurement Innovation: Develop an understanding of Source-to-Pay processes while identifying opportunities for automation, process optimization, and user experience improvements.
• Project & Stakeholder Management: Strengthen your project support, business analysis, communication, and presentation skills while collaborating with procurement professionals and transformation leaders.
• International Environment: Work with global stakeholders across Procurement, Digital, and Business teams while building practical experience in AI-driven transformation and innovation.

What You Bring

• Field of Study: International Business, Business Transformation, Data & AI, Supply Chain, Business Analytics, or a related field.
• Experience: Exposure to agent development, process mapping, project management, project support, digital transformation initiatives, or related academic projects is an advantage.
• Skills: Strong analytical thinking, curiosity for AI and emerging technologies, communication skills, structured problem-solving, and the ability to work effectively with stakeholders in a collaborative environment.

Eligibility Criteria And Conditions

• Language requirements: Fluent in English.
• Final Selection Day: 01.12.2026 in dsm-firmenich office in Maastricht.
• Start of the internship: 01.02.2027
• Duration: 4-5 months.
• Studies: currently enrolled at Maastricht University or Zuyd applied science university (hogeschool). Your university will cosign the internship agreement.
• Location: dsm-firmenich Maastricht office.
• Compensation: Internship salary is €550 per month.