Python and Data Science Trainer

We are seeking a passionate and knowledgeable Python & Data Science Trainer to deliver high-quality training programs for students and professionals. The trainer will be responsible for conducting classroom and online sessions, designing curriculum content, guiding learners through projects, and preparing them for real-world applications and industry requirements.
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Key Responsibilities:

• Deliver interactive classroom and online training sessions on Python, Data Science, Machine Learning, and related technologies.
• Design, develop, and update training materials, course content, and assignments.
• Provide hands-on guidance to students through coding exercises, projects, and case studies.
• Explain complex technical concepts in a simplified manner for learners at different levels.
• Monitor student progress and provide regular feedback and mentoring.
• Prepare learners for certifications, interviews, and industry-level projects.
• Stay updated with emerging technologies, tools, and best practices in Python and Data Science.
• Conduct assessments, quizzes, and evaluations to measure learner performance.
• Collaborate with the academic team to improve curriculum and teaching methodologies.
• Ensure high levels of student engagement, satisfaction, and successful course completion.

Qualifications & Skills:

• Bachelor’s/Master’s degree in Computer Science, Data Science, or related field.
• Strong proficiency in Python programming and libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow/PyTorch (preferred).
• Solid knowledge of Data Science concepts: Statistics, Data Analysis, Machine Learning, and Data Visualization.
• Prior experience in teaching/training (classroom or online) preferred.
• Excellent communication and presentation skills.
• Ability to guide students with practical projects and real-time problem solving.

Job Type: Full-time

Pay: ₹20,000.00 - ₹25,000.00 per month

Benefits:

• Cell phone reimbursement
• Internet reimbursement
• Leave encashment

Work Location: In person