Part time Data Science Instructor

upGrad; Chandigarh; On-site; INR 201,000 - 335,000; Part time

Job summary

upGrad in Chandigarh is seeking a Part-Time Data Science Instructor to join its Offline Learning Centre. You will deliver in-person sessions on Data Science, Machine Learning, Deep Learning, and GenAI tools, guiding learners through hands-on projects and real-world case studies.

You should have a minimum of 2 years teaching or industry experience in Data Science, strong Python/SQL/Excel skills, and excellent communication to simplify complex concepts for students and professionals.

Qualifications

• Minimum 2+ years of teaching, training, or core industry experience in Data Science and Machine Learning.
• Proficient in Python, SQL and Excel.
• Excellent presentation, mentoring, and communication skills.

Responsibilities

• Deliver in-person lectures and hands-on training sessions in Data Science, ML, DL, and GenAI/Agentic AI frameworks.
• Mentor learners through real-world case studies, industry projects, and standard practical tools.
• Collaborate with Centre Managers and academic teams to track learner progress and provide feedback.
• Stay up-to-date with industry trends and tools.

Skills

Python

SQL

Excel

Communication

Data Science

Machine Learning

GenAI/Agentic AI

Job description

Part-Time Data Science Instructor (Chandigarh)

upGrad is expanding its Offline Learning Centres, and we are looking for a dynamic, part-time Data Science Instructor in Chandigarh

If you want to balance your current professional commitments while mentoring ambitious students and working professionals in a classroom setting, this is the perfect role for you!

Type: Part-Time

Key Responsibilities

As a Part-Time Instructor, you will play a vital role in ensuring high-quality learning outcomes:

Deliver High-Impact Sessions: Conduct engaging, in-person lectures and hands-on training sessions in Data Science, Machine Learning, Deep Learning, and cutting-edge GenAI/Agentic AI frameworks.

Project Mentorship: Guide learners through real-world case studies, industry projects, and standard practical tools to ensure career readiness.

Collaborative Support: Work alongside Centre Managers and academic teams to track learner progress, resolve doubts, and offer constructive feedback.

Stay Cutting-Edge: Continuously update your practical knowledge to ensure our learners are trained on the latest industry trends and tools.

Skills & Experience Required

Experience: Minimum 2+ years of teaching, training, or core industry experience in Data Science and Machine Learning.

Core Technical Skills: Strong programming proficiency in Python, SQL, and Excel.

Communication: Exceptional presentation, mentoring, and communication skills, with the ability to simplify complex technical architectures.