AI Tender Optimization Intern: Build a Knowledge Base

JBT Marel Corporation; Boxmeer; Híbrido; EUR 4100 - 4900; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Internship allowance

Travel reimbursement

Resumo da oferta

JBT Marel Corporation invites a student in Data Science/IT/Business Administration to join our Netherlands internship in Boxmeer. You will build an AI knowledge database to streamline tender processes and gain cross‑functional exposure with sales, engineering and IT teams.

You will map bottlenecks, analyze documents, explore NLP/semantic search and ML, and deliver a prototype with scaling recommendations. Interns receive guidance, growth opportunities and a hybrid work setup.

Qualificações

• You are a vocational or university student in Data Science, IT, Business Administration, Commercial Economics or related field.
• Affinity for AI and data analysis; curious about applying them in business context.
• Take initiative; can work independently; gather information across disciplines.
• Strong analytical skills.
• Desire to contribute to innovative solutions within complex sales processes.

Responsabilidades

• Map the current tender process and identify bottlenecks.
• Analyze tender documents and information needs.
• Investigate AI techniques such as NLP, semantic search, and machine learning.
• Design and build an initial AI knowledge database.
• Test with real tender cases and evaluate results.
• Deliver recommendations for implementation and scaling.

Conhecimentos

Data Science

AI affinity

Analytical skills

Independent work

Formação académica

Data Science / IT / Business Administration / Commercial Economics student

Descrição da oferta de emprego

JBT Marel Corporation invites a student in Data Science/IT/Business Administration to join our Netherlands internship in Boxmeer. You will build an AI knowledge database to streamline tender processes and gain cross‑functional exposure with sales, engineering and IT teams.

You will map bottlenecks, analyze documents, explore NLP/semantic search and ML, and deliver a prototype with scaling recommendations. Interns receive guidance, growth opportunities and a hybrid work setup.