Embark on an exciting journey with TE Connectivity as they seek a talented individual for the role of DATA SCIENTIST I in Bangalore, Karnātaka, India. This is an unparalleled entry-level opportunity to apply your expertise in Artificial Intelligence, Machine Learning, and Generative AI to real-world manufacturing operations, driving innovation from day one. If you’re passionate about data-driven solutions, seize this chance to make a significant impact.
This is a prime opportunity for those seeking challenging TE Connectivity careers, particularly DATA SCIENTIST I jobs in Bangalore, Karnātaka, India, as TE Connectivity is actively hiring 2026 talent to bolster its advanced analytics capabilities.
Company Overview
TE Connectivity is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Through its diverse range of connectivity and sensor solutions, TE enables innovations across various sectors, including automotive, industrial equipment, broadband communications, consumer devices, and energy. Joining as a Data Scientist I means contributing to the foundational AI/ML initiatives that optimize manufacturing processes and push technological boundaries for a global enterprise.
| Company Name | TE Connectivity |
| Job Role | DATA SCIENTIST I |
| Qualification | BE/BTech |
| Job Location | Bangalore |
| Salary | Rs. 6-10 LPA |
| Experience | Entry Level |
| Category | AI Jobs |
Role Overview
As a Data Scientist I, you will play a pivotal role in developing and deploying advanced AI/ML/GenAI solutions to enhance TE India’s manufacturing operations. This position offers a unique chance to transition academic knowledge into practical, high-impact industrial applications.
• Support the creation and implementation of AI, ML, and GenAI solutions
• Contribute to data-driven projects focused on manufacturing efficiency
• Participate in cutting-edge GenAI initiatives
• Collaborate with diverse teams to expand pilot projects to enterprise scale
Eligibility & Qualifications
- A Bachelor of Engineering (BE) or Bachelor of Technology (BTech) in Computer Science, Data Science, AI/ML, or a closely related technical field
- Strong academic performance (80%+ aggregate, no backlogs)
Also Apply: Latest AI & ML Job Openings
Key Responsibilities
• Develop and implement AI, Machine Learning, and Generative AI solutions for manufacturing environments.
• Work on data-driven projects like predictive maintenance, improving quality analytics, and detecting anomalies.
• Optimize manufacturing processes through intelligent data analysis.
• Contribute to GenAI initiatives, including knowledge retrieval systems and document automation.
• Assist in creating AI-assisted reporting tools.
• Translate theoretical AI/ML/GenAI concepts into practical industrial use cases.
• Collaborate with cross-functional and global teams to scale successful pilot projects.
Skills Required
• Strong foundation in AI, Machine Learning, and Generative AI (GenAI) principles.
• Experience with predictive maintenance, quality analytics, and anomaly detection.
• Proficiency in process optimization, knowledge retrieval, and document automation.
• Familiarity with AI-assisted reporting and model development.
• Understanding of Active Analytics, Large Language Models (LLMs), and prompt engineering.
• Capabilities in data cleaning, feature engineering, and model evaluation.
• Knowledge of machine vision and image processing techniques.
• Experience with collaborative coding tools and various cloud platforms.
Why Join TE Connectivity
• Engage with cutting-edge AI and GenAI technologies in real-world industrial settings.
• Collaborate with diverse, global teams and contribute to enterprise-level solutions.
• Apply academic knowledge to solve complex challenges in manufacturing operations.
• Be part of a leading company committed to innovation and technological advancement.
• Grow your career in a dynamic environment focused on a connected and productive future.
How to Apply for TE Connectivity AI Jobs 2026
Eligible and Interested candidates can apply using the below-mentioned link before the link expires.
Apply Link: Click Here To Apply
