凭借约150年的强大品牌，我们引领重塑想象，激发美好生活。基于我们创新且可持续的品牌、技术以及全球化团队，我们不仅要关注当代，更要着眼于未来。
汉高在工业和消费领域均处于领先地位：我们的产品组合包括家喻户晓的美发产品、衣物洗涤剂和护理剂以及粘合剂、密封剂和功能性涂层。
Data Analytics Intern
Apply for this role
About this Position
We are seeking a highly motivated postgraduate intern specializing in Artificial Intelligence, Analytics, Data Science, Machine Learning, or related disciplines to support a strategic Quality 4.0 initiative. The project focuses on developing AI-powered agents that analyze manufacturing and quality data from SAP and the Quality Control Lab Automation & Digitization (QCLAD) platform to generate real-time adjustment material recommendations during production. The objective is to improve process capability, reduce waste, increase first pass quality, and unlock sustainable Day-2 savings opportunities.
What you´ll do
- Analyze and integrate quality data from Incoming Quality Control (IQC), In-Process Quality Control (IPQC), and Outgoing Quality Control (OQC) systems; Develop AI/ML models to identify process trends and predict quality outcomes.
- Build AI agents capable of recommending material adjustment proposals during manufacturing operations; Leverage historical SAP production, formulation, and quality datasets to train and validate predictive models.
- Collaborate with Quality, Manufacturing, Digital, and Data Analytics teams to understand business requirements; Design dashboards and visualizations to demonstrate business impact and savings opportunities.
- Evaluate agentic AI frameworks and Generative AI approaches for manufacturing decision support.
- Document methodologies, algorithms, and recommendations for future deployment and scaling.
- Expected Deliverables are as follows: prototype AI agent for production adjustment recommendations, predictive models correlating IQC, IPQC, OQC, and process parameters with final product quality, quantified Day-2 savings opportunities through reduced rework, scrap, and process variability, and deployment roadmap for scaling the solution across manufacturing sites.
What makes you a good fit
- Currently pursuing a Master's in Artificial Intelligence, Analytics, Data Science, Computer Science, Industrial Engineering, Operations Research, or related fields at NUS or NTU.
- Strong knowledge of Machine Learning, Predictive Analytics, Statistical Modeling, and Generative AI concepts.
- Experience with Python, SQL, and data science libraries (Pandas, Scikit-Learn, PyTorch, TensorFlow, etc.).
- Familiarity with LLMs, AI agents, Retrieval-Augmented Generation (RAG), or agent orchestration frameworks is highly desirable.
- Understanding of manufacturing, process engineering, quality systems, or supply chain analytics is a plus.
- Strong problem-solving skills and ability to translate business challenges into analytical solutions, along with strong collaboration and interpersonal skills.
Some perks of joining Henkel
- Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
- Diverse national and international growth opportunities
- Global wellbeing standards with health and preventive care programs
- Gender-neutral parental leave for a minimum of 8 weeks
- Employee Share Plan with voluntary investment and Henkel matching shares
- Outpatient Medical and Specialist Coverage for employees and eligible dependents
- Life, Hospital, Personal Accident Insurance Coverage
- Flexible Benefits covering Dental, Vaccination, Eye screenings etc for employees and eligible dep
- Access to company products at discounted price
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, disabilities, and generations.
JOB ID: 26102362
Job Locations: Singapore
Contact information for application-related questions: talent.seaanz@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: If you have an application already, you can create or log in to your account here to check the status of your application. In case of new account creation, please use your email address that you applied with.
关于汉高
常见问题
我对几个职位都很感兴趣。我能不能同时申请多个职位？
可以——只要在我们的网申系统填写好个人资料即可。完整填写好之后，您就能申请多个职位了。
职位信息用英语写的——我是不是也应该用英语撰写我的申请材料？
对，请用英语。在汉高这样的跨国公司，您要和来自世界各地的同事一起工作，所以汉高官方的工作语言是英语。一般来说，请以职位信息的语言撰写申请材料。
在应聘过程中，我能不能及时收到申请状态的反馈？
汉高每个职位都是非常独特的，所以找到合适的候选人对应聘者和汉高来说都至关重要。我们想要确保候选人和汉高相互适合。在整个招聘过程中，我们自始至终都会向应聘者提供反馈。
汉高员工能否在不同业务部和/或不同国家之间调动岗位？
可以。其实在汉高，我们希望我们的员工能享受充分的灵活性和流动性。这样才能让汉高成长为更为强大的跨国企业。我们的“三重二”原则便体现了我们这一理念：员工在职业发展的过程中，可以在两个国家，两个业务单元，调任至少两个职位。我们相信在不同业务单元和部门担当不同的职位对您的个人发展非常有利，也能增强您对汉高这一跨国企业的了解。
点击这里进一步了解我们的培训项目。
如果我对申请流程有疑问该联系谁？
我们的招聘团队会帮您解决所有的申请问题。点击这里联系我们的招聘团队。