Data Analytics Intern

Henkel; Singapore; Híbrido; SGD 17.000 - 23.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible work scheme with hybrid model

Global wellbeing standards with health

Parental leave for a minimum of 8 days

Employee Share Plan

Outpatient Medical Coverage

Life and Personal Accident Insurance

Flexible Benefits for employees

Access to company products at discount

Descripción de la vacante

Henkel Singapore seeks a motivated postgraduate intern specializing in AI, Analytics, Data Science, or related fields to support a Quality 4.0 initiative. You will help analyze IQC/IPQC/OQC data, build AI agents, and develop predictive models tied to process improvements and Day-2 savings.

You will collaborate with Quality, Manufacturing, Digital, and Data Analytics teams, design dashboards, and explore Generative AI approaches for manufacturing decision support.

Formación

• Pursuing a Master's in AI/Analytics/Data Science at NUS or NTU.
• Strong knowledge of ML, predictive analytics, and statistical modeling.
• Familiarity with Generative AI concepts and AI agents is desirable.

Responsabilidades

• Analyze and integrate quality data from IQC, IPQC, and OQC systems; develop AI/ML models to identify trends and predict outcomes.
• Build AI agents to propose material adjustments during production using SAP and QCLAD datasets.
• Collaborate with Quality, Manufacturing, Digital, and Data Analytics teams; design dashboards to show impact and savings.
• Evaluate Generative AI frameworks for manufacturing decision support.
• Document methodologies and deployment plans for future scaling.

Conocimientos

Machine Learning

Predictive Analytics

Statistical Modeling

Generative AI concepts

Python

SQL

Pandas

Scikit-Learn

PyTorch

TensorFlow

Educación

Master's degree in AI/Analytics/Data Science (NUS or NTU)

Herramientas

Python

SQL

Pandas

Scikit-Learn

PyTorch

TensorFlow

Descripción del empleo

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.