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Salary
≈ $29k – $52k per year (Estimated)
Location
In office (Düsseldorf)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 22, 2026. Henkel scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Henkel is a German multinational chemical and consumer goods company headquartered in Düsseldorf, organised into two business areas, Adhesive Technologies and Consumer Brands, with brands such as Loctite, Persil and Schwarzkopf. Founded in 1876 and listed in the DAX, it operates worldwide, with its North American headquarters in Rocky Hill, Connecticut, and large teams in Stamford, Boulogne-Billancourt, Shanghai, Brussels and Bratislava. Its vacancies include field sales and sector managers, production planners, quality engineers, engineering project managers, R&D and packaging interns, enterprise architects, logistics managers and legal counsel.

About this Position We are looking for a technically strong and self-driven intern to support our data, AI, and digital process initiatives. In this role you will help turn unstructured technical documents into structured, usable data, contribute to AI-based extraction pipelines, and support the digital tools that make product knowledge accessible across the organization. It is a hands-on position with real ownership, close mentorship, and direct exposure to a global digital transformation program.

This is an ongoing position. You are welcome to apply at any time, for any start date. What you´ll do Extract and structure technical data from unstructured documents using AI-based solutions Support the development and optimization of data extraction pipelines with Python and cloud technologies Validate, enrich, and maintain product and company datasets to ensure high data quality Contribute to the setup and improvement of digital tools and processes through testing and stakeholder collaboration Support data-driven analyses, product classifications, and portfolio segmentation activities Prepare reports, visualizations, and presentations for internal stakeholders using Power BI and Excel Assist with documentation, troubleshooting, and continuous improvement of digital workflows and AI applications

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