ヘンケルは、創業以来約150年以上にわたって築き上げてきた確固たる経験に基づき、毎日の生活を見つめ直し、より快適で豊かなものにするべく取り組んでいます。現在、そして未来の世代のために、革新的でサステナブルなブランドとテクノロジーを通じて、世界中のチームとともに邁進しています。ヘンケルは、インダストリアル事業およびコンシューマー向け事業で業界リーダーとしての地位を確立しています。当社の取扱製品には、一般的なヘアケア製品、洗濯用洗剤、柔軟剤といったものから、接着剤、シーリング剤、機能性コーティング剤などがあります。
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.
Henkel について
FAQ
複数の職種に関心があります。同時に複数の職種に応募できますか？
はい。当社のオンライン応募システムにご自分のプロフィールを入力するだけです。オンラインプロフィールが完成したら、複数の職種に応募することができます。
求人情報は英語で書かれています – 応募も英語にすべきですか？
はい、英語でご応募ください。ヘンケルはグローバル企業であるため、世界中の同僚と働くことになります。また、当社では、英語が公用語です。一般的に、求人広告と同じ言語で応募書類を書くことが原則です。
応募した後、応募の進捗について連絡がありますか？
ヘンケルで募集している職種に同じものはありません。したがって、適切な候補者を見つけることは、雇用される応募者のみでなくヘンケルにとっても重要です。候補者と当社の双方がお互いに適していることを確認したいと考えています。進捗状況は随時応募者にお知らせします。
登録に関する質問がある場合、どちらに連絡すればよいですか？
テクニカルな質問やオンライン応募プロセスに関する質問は、こちらをクリックしてください 。