
Data Science Trainer
1 week ago
**Company Description**
Brainwonders - India's Largest Career Counselling Company
450+ Education Institutes use the Brainwonders Services
80+ Corporate Connects
Winner of many numerous national and regional awards in the field of counselling and career guidance
Brainwonders is looking for an experienced and engaging **Data Science & AI Trainer** to deliver high-quality learning experiences both online and offline. This role involves teaching, mentoring students and professionals through live sessions, recorded videos, and in-person training.
You’ll be responsible for designing and delivering modules in core Data Science and Artificial Intelligence topics, tailored for corporate learners, and upskilling programs.
**Key Responsibilities**:
- Conduct both online video-based classes
- Host live webinars, pre-record instructional videos, and confidently present on camera
- Deliver hands-on workshops using tools like Python, Pandas, NumPy, Scikit-learn, TensorFlow, and Keras
- Coordinate with curriculum, pedagogy, product, and technical teams for continuous improvement
- Continuously revise training materials to stay updated with industry trends
- Provide student feedback, assess progress, and support career-readiness (mock interviews, project reviews)
**Required Qualifications & Skills**:
- Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or related fields
- **2-5 years of experience** in Data Science, AI, or technical training
- Proficient in Python, Scikit-learn, Pandas, NumPy, TensorFlow/Keras, and SQL
- Strong understanding of machine learning algorithms, deep learning concepts, and data wrangling
- **Offline and On-camera confidence** and prior experience in **video-based instruction or webinars**:
- Excellent communication, presentation, and mentoring skills
- Experience with LMS platforms and e-learning content is a plus
**Pay Range 5 LPA - 15 LPA**
**Office timings - 10 am to 7 pm**
Pay: ₹500,000.00 - ₹1,500,000.00 per year
Schedule:
- Day shift
- Morning shift
Work Location: In person
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