AI-Driven Data Analytics Intern — Manufacturing Quality

Henkel; Singapore; Hybrid; SGD 17,000 - 23,000; Full time

Benefits offered by this job

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

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Machine Learning

Predictive Analytics

Statistical Modeling

Generative AI concepts

Python

SQL

Pandas

Scikit-Learn

PyTorch

TensorFlow

Education

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

Tools

Python

SQL

Pandas

Scikit-Learn

PyTorch

TensorFlow

Job description

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.