Principal Data Science
Bangalore, KA, IN, 560048
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDefine technical direction and architecture for enterprise AI initiatives
Lead development of production AI systems such as NLP, RAG and AI agents
Prototype and evaluate emerging AI technologies and recommend which to adopt
Mentor data scientists and AI engineers
Lead architecture reviews and AI engineering standards
From the employer’s posting
Define technical direction, architecture, and best practices for enterprise AI initiatives.
Lead development of production AI systems including predictive models, NLP, Computer Vision, RAG, AI Agents, optimization, and enterprise AI platforms.
Continuously explore, prototype, evaluate, and recommend emerging AI technologies.
Mentor Data Scientists and AI Engineers while fostering a culture of innovation and technical excellence.
Lead architecture reviews, technical design, and AI engineering standards.
What you’ll bring
All qualificationsCore experience
- 12+ years of experience in AI, Machine Learning, or Data Science with demonstrated technical leadership.
- Strong expertise in Machine Learning, Deep Learning, NLP, Computer Vision, Optimization, and Generative AI.
- Understanding of evolving AI paradigms such as Agentic AI, Causal AI, Neuro-symbolic AI, World Models, AI reasoning, and future AI architectures.
- Experience building enterprise AI platforms and reusable AI frameworks.
- Leadership Competencies: Technical Thought Leadership, Strategic Thinking, Innovation, Mentorship, Enterprise Influence, Business Acumen, Continuous Learning.
- Hands-on experience with LLMs, RAG, AI Agents, modern AI frameworks, and cloud AI platforms.
Qualification wording
12+ years of experience in AI, Machine Learning, or Data Science with demonstrated technical leadership.
Strong expertise in Machine Learning, Deep Learning, NLP, Computer Vision, Optimization, and Generative AI.
Understanding of evolving AI paradigms such as Agentic AI, Causal AI, Neuro-symbolic AI, World Models, AI reasoning, and future AI architectures.
Experience building enterprise AI platforms and reusable AI frameworks.
Leadership Competencies: Technical Thought Leadership, Strategic Thinking, Innovation, Mentorship, Enterprise Influence, Business Acumen, Continuous Learning.
Hands-on experience with LLMs, RAG, AI Agents, modern AI frameworks, and cloud AI platforms.
Education & alternatives
Education & Experience - BE, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field. - 12+ years of experience in AI, Machine Learning, or Data Science with demonstrated technical leadership.
Tools in this posting
- Python
Source — Tool mentions in context
- Hands-on experience with LLMs, RAG, AI Agents, modern AI frameworks, and cloud AI platforms. - Strong programming skills in Python and experience with modern AI/ML frameworks. - Experience with MLOps/LLMOps, cloud platforms, and scalable AI architectures.
About TE Connectivity
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future.
In the employer’s words · Read in context
Posting record
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- First seen by us
- Jul 28, 2026 · 89 days ago
- Recorded sightings
- 889
- Last seen by us
- Oct 25, 2026
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Your next step
- Have your resume and examples of relevant work ready.
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- Ask the employer about the pay range before committing time to the process.
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Job description
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 Overview
At TE, we believe Artificial Intelligence and Data Science are strategic drivers of innovation and business transformation. The AI Center of Excellence (AI CoE), part of the TE Information Solutions (TEIS) organization, builds enterprise AI capabilities that accelerate engineering, manufacturing, supply chain, commercial, and enterprise operations.
The Principal Data Scientist is a senior technical leader responsible for shaping TE's AI strategy and driving the adoption of advanced AI technologies across the enterprise. This role combines deep expertise in Artificial Intelligence and Machine Learning with a passion for exploring emerging AI paradigms, mentoring technical teams, and translating innovation into measurable business outcomes.
Responsibilities:
AI Strategy & Technical Leadership
- Define technical direction, architecture, and best practices for enterprise AI initiatives.
- Partner with business and engineering leaders to identify high-impact AI opportunities.
- Influence AI strategy, technology roadmap, and enterprise AI adoption.
AI Innovation
- Continuously explore, prototype, evaluate, and recommend emerging AI technologies.
- Provide technical guidance on approaches such as Agentic AI, Causal AI, Neuro-symbolic AI, World Models, Foundation Models, and other evolving AI paradigms.
- Distinguish meaningful innovation from hype and translate research into practical enterprise solutions.
AI Solution Development
- Design, develop, and deploy scalable AI, Machine Learning, Generative AI, and intelligent automation solutions.
- Lead development of production AI systems including predictive models, NLP, Computer Vision, RAG, AI Agents, optimization, and enterprise AI platforms.
- Establish best practices for model development, deployment, evaluation, governance, and Responsible AI.
Technical Leadership
- Mentor Data Scientists and AI Engineers while fostering a culture of innovation and technical excellence.
- Lead architecture reviews, technical design, and AI engineering standards.
- Stay at the forefront of AI advancements and help grow TE's AI capabilities.
Candidate Desired Profile:
Education & Experience
- BE, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field.
- 12+ years of experience in AI, Machine Learning, or Data Science with demonstrated technical leadership.
- Proven track record of delivering enterprise-scale AI solutions and measurable business impact.
Technical Expertise
- Strong expertise in Machine Learning, Deep Learning, NLP, Computer Vision, Optimization, and Generative AI.
- Hands-on experience with LLMs, RAG, AI Agents, modern AI frameworks, and cloud AI platforms.
- Strong programming skills in Python and experience with modern AI/ML frameworks.
- Experience with MLOps/LLMOps, cloud platforms, and scalable AI architectures.
Emerging AI
- Passion for continuously learning, evaluating, and prototyping emerging AI technologies.
- Understanding of evolving AI paradigms such as Agentic AI, Causal AI, Neuro-symbolic AI, World Models, AI reasoning, and future AI architectures.
- Ability to communicate the applicability, strengths, and limitations of emerging AI technologies to both technical teams and business stakeholders.
Nice to Have
- Publications, patents, or open-source contributions in AI/ML.
- Experience building enterprise AI platforms and reusable AI frameworks.
- Experience in manufacturing, industrial, or engineering AI applications.
Competencies
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
Leadership Competencies: Technical Thought Leadership, Strategic Thinking, Innovation, Mentorship, Enterprise Influence, Business Acumen, Continuous Learning.
Competencies
ABOUT TE CONNECTIVITY
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.
Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).
WHAT TE CONNECTIVITY OFFERS:
We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority!
• Competitive Salary Package
• Performance-Based Bonus Plans
• Health and Wellness Incentives
• Employee Stock Purchase Program
• Community Outreach Programs / Charity Events
• Employee Resource Group
IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.
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Bangalore, KA, IN, 560048
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