Internship AI Tool for Tender Management System

JBT Marel Corporation; Boxmeer; Hybrid; EUR 4,100 - 4,900; Full time

Benefits offered by this job

Internship allowance

Travel reimbursement

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data Science

AI affinity

Analytical skills

Independent work

Education

Data Science / IT / Business Administration / Commercial Economics student

Job description

Internship Assignment – AI in Tender Processes

The Background

Within our Sales Operations department, we observe a clear increase in the number of tender procedures. These processes are becoming increasingly complex and require a lot of manual work: sifting through documents, posing questions to various departments (sales, demand planning, engineering, procurement), collecting responses, and aligning commercially. This process is time consuming, prone to errors, and heavily reliant on the availability and knowledge of colleagues.

We aim to organize this more intelligently and future‑proof by developing an AI‑supported solution that accelerates, simplifies, and reduces dependence on manual input in tender processes.

The Assignment

During your internship, you will develop an AI knowledge database that centrally stores previously asked questions and answers. This will make tender processes faster, more efficient, and more consistent.

Among Other Tasks, You Will Work On

• Mapping the current tender process and identifying key bottlenecks.
• Analyzing tender documents and information needs.
• Investigating AI techniques such as natural language processing, semantic search, and machine learning.
• Designing and building an initial version of the AI knowledge database.
• Testing with real tender cases and evaluating results.
• Delivering recommendations for implementation and scaling.

Your final deliverable will be a functioning prototype or proof‑of‑concept that directly contributes to improving our tender process.

What will you learn with us?

• Applying AI technology in a practical, commercial context.
• Working on a high-impact project with organization‑wide effects.
• Balancing technical possibilities with commercial interests.
• Gaining experience within an international organization and collaborating with experts from sales, engineering, and IT.
• Presenting your solution to stakeholders and management.

Who are we?

JBT Marel (John Bean Technologies Corporation + Marel) combines two leading companies in the food industry. Together, we are a global market leader in equipment, integrated technology, and services for the food and beverage industry. Our shared goal: transforming the future of food.

What do we offer you?

• A challenging and meaningful assignment where you can really make an impact.
• Professional guidance from experienced colleagues.
• Room for personal and professional growth.
• Insight into the operations of one of the most innovative companies in the food industry.
• A friendly team with a pleasant, informal working atmosphere.
• The opportunity to work partly from home.
• Internship allowance of €400 per month (full-time, 40 hours per week).
• Travel allowance of €0.23 per kilometer.

Who are you?

• You are a vocational or university student studying Data Science, IT, Business Administration, Commercial Economics or a related field.
• You have an affinity for AI and data analysis, and are curious about applying these in a business context.
• You take initiative, can work independently, and know how to gather information from different disciplines.
• You have strong analytical skills.
• You want to contribute to innovative solutions within complex sales processes.