Data Science Trainer

Location: TGC Animation Multimedia (All Branches)
Type: Full-Time / Part-Time / Visiting Faculty
Department: Data Science Machine Learning

Role Overview

The trainer will be responsible for delivering hands-on classroom sessions in Python, Statistics, Machine Learning, and Data Visualization , along with live projects, case studies, and industry-based assignments. The ideal candidate should combine technical knowledge with the ability to explain complex topics in a simple and engaging manner.

Key Responsibilities
Conduct classroom and lab sessions on Python, Data Science, Machine Learning, Deep Learning, and AI.
Teach libraries and tools like NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, and Power BI.
Guide students on real-world datasets and end-to-end project workflows.
Supervise assignments, capstone projects, and performance reviews.
Help students prepare for interviews and industry placements.
Stay updated with current trends in AI, data analytics, and automation.
Work closely with the academic manager to ensure curriculum delivery meets industry expectations.

Requirements




Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or related fields.
Minimum 3 5 years of experience in data science, analytics, or machine learning roles.
Strong programming skills in Python and SQL.
Practical knowledge of machine learning algorithms and data visualization.
Excellent communication, classroom management, and mentoring skills.

Preferred Skills
Familiarity with Cloud Platforms (AWS / Azure / Google Cloud).
Knowledge of R, Tableau, or advanced AI frameworks.
Prior teaching, training, or mentoring experience is highly desirable.

Compensation Engagement
Full time, part time, or visiting options available.
Competitive salary or session-based remuneration.
Chance to conduct guest workshops, webinars, and industry-linked training modules.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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