Job Description

- Data Science Trainer
Location: Baner, Pune

: Minimum 2-3 years of trining or Industry experiance

About the Role:

We are looking for a passionate and experienced

Data Science Trainer

to join our team full-time. In this role, you will be responsible for delivering high-quality training sessions in data science, machine learning, and AI to students or working professionals. Your goal is to equip learners with the skills and knowledge to thrive in data-driven roles.

Key Responsibilities:

Deliver live instructor-led training sessions on topics such as Python, SQL, Data Analysis, Machine Learning, Deep Learning, NLP, and AI. Create engaging training materials, assignments, quizzes, and capstone projects. Mentor learners through 1-on-1 or 1 to many doubt-solving sessions and project guidance. Stay up-to-date with the latest trends and technologies in data science and incorporate them into the curriculum. Assess learner performance and provide feedback for improvement. Contribute to curriculum design and development based on industry needs.

Required Skills & Qualifications:

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. 2-3+ years of hands-on experience in data science, analytics, or a related domain. Prior experience in teaching/training (online or classroom) preferred. Proficiency in Python, Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, SQL, and ML concepts. Strong communication and presentation skills. Experience with tools like Jupyter Notebook, Google Colab, and cloud platforms is a plus.

Nice to Have:

Familiarity with deep learning frameworks like TensorFlow or PyTorch. Experience working on industry projects or consulting in data science. Ability to explain complex concepts in a simple and relatable manner.

Perks

Access to cutting-edge learning resources and certifications Collaborative team culture Opportunities for career advancement in the EdTech/training indust
Job Type: Full-time

Pay: ₹40,000.00 - ₹50,000.00 per month

Schedule:

Day shift Weekend availability
Supplemental Pay:

Commission pay Performance bonus
Experience:

Training & development: 2 years (Preferred)
Work Location: In person