For more than 75 years, TE Connectivity has partnered with customers to produce highly reliable connectors and sensors that power a connected world. Our innovations enable electric vehicles, aircraft, digital factories, smart homes, medical devices, and next-generation communication infrastructure.

The Singapore R&D Center collaborates with CTOs across TE's Business Units to drive advanced technologies that impact global markets. As part of TE's Digitalization strategy, we are investing in simulation, modeling, and AI-driven data capabilities to accelerate New Product Development and enable first-time-right engineering.

We are looking for a Data Science Intern with strong programming skills and interest in Generative AI and Agentic AI, applied to real-world engineering and product design problems.

Job Responsibilities:

Develop data science and AI solutions to support engineering design, material development, and manufacturing processes
Apply machine learning and statistical methods to analyze experimental, simulation, and production data
Design and prototype AI/agentic systems to automate engineering workflows, decision support, and knowledge retrieval
Work with structured, semi-structured, and unstructured data (including engineering data, images, and text)
Perform exploratory data analysis (EDA) to identify patterns, anomalies, and optimization opportunities
Develop predictive models (regression, classification, clustering) for engineering applications
Collaborate with cross-functional teams including material science, manufacturing, and product engineering
Ensure data quality through validation, preprocessing, and robust pipeline development

Job Requirements:

Required:

Currently pursuing a degree in Data Science, Computer Engineering, Computer Science, AI, Statistics, Mathematics, Engineering, or related fields
Strong programming skills in Python (NumPy, Pandas, scikit-learn)
Understanding of machine learning fundamentals and data analysis techniques
Familiarity with engineering data (simulation, experimental, or manufacturing data is a plus)
Experience with version control (Git/GitHub/GitLab)
Strong analytical thinking and problem-solving skills
Good communication and teamwork skills

Preferred:

Exposure to Generative AI or LLMs, with focus on practical applications
Familiarity with agentic AI frameworks (e.g., LangChain, LlamaIndex) or workflow automation
Experience with deep learning frameworks (PyTorch, TensorFlow)
Knowledge of RAG, embeddings, or data integration techniques
Experience in computer vision or engineering-related analytics
Understanding of statistical inference, hypothesis testing, and experimental design

What You'll Gain:

Hands-on experience applying AI (including agentic systems) to real engineering and product design challenges
Exposure to advanced R&D in materials, manufacturing, and digital engineering
Mentorship from experienced scientists and engineers
Opportunity to contribute to TE's digital transformation and innovation initiatives

Data Science Intern - AI & Engineering Analytics (Hybrid, minimum 5 Months)