Data Science Intern (Hybrid, 6 Months)

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 **Competencies** Values: Integrity, Accountability, Inclusion, Innovation, Teamwork **Job Locations:** UE SQUARE, 83 CLEMENCEAU AVENUE Singapore, Central Singapore 239920 Singapore **Posting City:** Singapore **Job Country:** Singapore **Travel Required:** None **Requisition ID:** 144124 **Workplace Type:** Hybrid **External Careers Page:** Administrative Support