What makes you a good fit
- Master’s degree in a quantitative discipline such as Data Science, Engineering, Computer Science, Mathematics, Physics, Computational Finance, or related fields
- At least 6 years of hands-on experience in data science or advanced analytics roles, ideally within an industrial context. Experience in supply chain or manufacturing environments is a strong advantage
- Proven track record in designing and delivering end-to-end AI/ML solutions, from building models, to creating solutions that integrate data, business logic, and deployment. Excellent coding skills in Python and proficient with modern AI/ML technologies and tools (e.g., scikit-learn, TensorFlow, LLMs, agentic AI, …)
- Experience working with data processing frameworks (e.g., SQL, Spark), cloud platforms (preferably Azure), and collaborative development practices (e.g., Git, Agile, Scrum, DevOps, MLOps)
- Strong business acumen and the ability to engage confidently with non-technical stakeholders. You excel at translating complex business problems into AI use cases and value-driven prototypes
- Fluency in English is required; knowledge of German is a plus
Some perks of joining Henkel
At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We welcome all applications across different genders, origins, cultures, religions, sexual orientations, generations and disabilities. If there are any specific accommodations or adjustments you require for the interview process or your on-site appointment, please inform us, and we'll do our best to accommodate your requests.
JOB ID:
25083715
Job Locations:
Germany, North Rhine Westphalia, Düsseldorf
Contact information for application-related questions:
Recruitment-Germany@henkel.com
Please do not use this email address for sending your application or CV. To apply, please click on the "Apply for this role" button below. Applications sent via e-mail will not be accepted.
Application Deadline:
As long as the vacancy is listed on our Career Site, we are happy to receive your application
Job-Center:
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