Data Science Trainer

DataTeach.AI is a leading EdTech company dedicated to empowering students and professionals with future-ready skills in Data Science, Artificial Intelligence, and Machine Learning. We deliver hands-on, industry-aligned training programs designed to bridge the gap between academics and real-world applications.

Role Overview

We are looking for a passionate and knowledgeable Data Science Trainer who can effectively train students and working professionals on Data Science, Machine Learning, and related tools and technologies. The ideal candidate should have strong technical expertise, excellent communication skills, and a knack for simplifying complex concepts.

Key Responsibilities

• Conduct live training sessions (online/offline) on Data Science, Python, Machine Learning, Deep Learning, and AI.
• Develop and deliver curriculum content, assignments, and projects aligned with industry standards.
• Guide learners through hands-on projects using tools like Jupyter Notebook, Pandas, Scikit-learn, etc.
• Evaluate student performance and provide feedback for improvement.
• Stay up to date with the latest trends and advancements in Data Science & AI.
• Collaborate with the academic and content teams to enhance course quality.
• Support in webinars, workshops, and technical talks organized by DataTeach.AI.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field.
• Strong knowledge of:
• Python programming
• Pandas, NumPy, Matplotlib/Seaborn
• Machine Learning algorithms (Regression, Classification, Clustering)
• Data Preprocessing, Feature Engineering
• Statistics and Probability for Data Science
• Familiarity with Deep Learning / NLP / Power BI / SQL is a plus.
• Prior teaching, mentoring, or corporate training experience preferred.
• Excellent communication and presentation skills.
• Ability to simplify complex topics and make learning engaging.

Job Types: Full-time, Permanent, Freelance

Pay: ₹500,000.00 - ₹900,000.00 per year

Work Location: In person