Job Description
Job Title:  DATA SCIENTIST I
Posting Start Date:  5/20/26
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. 
Job Description: 

Job Overview

  • Support TE India in developing and deploying AI, Machine Learning, and Generative AI (GenAI) solutions within manufacturing operations.
  • Work on data-driven projects such as predictive maintenance, quality analytics, anomaly detection, and process optimization.
  • Participate in GenAI initiatives, including knowledge retrieval, document automation, and AI-assisted reporting.
  • Apply academic knowledge of AI/ML/GenAI to real-world industrial use cases.
  • Collaborate with cross-functional and global teams to scale pilot projects into enterprise-level solutions.

 

What is background should look like:

  • BE/B.Tech in Computer Science, Data Science, AI/ML, or related fields
  • Strong academic performance (80%+ aggregate, no backlogs)
  • Good communication skills, problem-solving ability, and critical thinking
  • Strong understanding of AI/ML fundamentals with hands-on model development exposure
  • Familiarity with Active Analytics use cases (predictive maintenance, anomaly detection, quality prediction)
  • Exposure to GenAI applications (LLMs, prompt engineering, knowledge retrieval, document automation)
  • Basic knowledge of data science workflows (data cleaning, feature engineering, model evaluation)
  • Exposure to machine vision, image processing, or AI-based applications is an added advantage
  • Experience with collaborative coding tools and cloud platforms (preferred)
  • Willingness to learn new technologies and adapt in a fast-paced environment

 

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

Job Locations:

Doraisanipalya, J.P Nagar, 4th Phase, Bannerghatta Road
Bangalore, Karnātaka 560076
India

Posting City:  Bangalore
Job Country:  India
Travel Required:  Less than 10%
Requisition ID:  152557
Workplace Type:  Onsite
External Careers Page:  Information Technology