Data Science Trainer

Role & responsibilities

• Deliver training on Data Science, AI/ML, Python, SQL, Power BI, Tableau, and Generative AI.
• Conduct hands-on practical sessions with real-world datasets and case studies.
• Mentor students on projects, coding, and technical concepts.
• Develop and update training materials, assignments, and assessments.
• Guide students in Git/GitHub, resume building, and portfolio development.
• Conduct mock interviews and prepare students for placements.
• Evaluate student performance through tests, practicals, and viva sessions.
• Ensure timely syllabus completion while maintaining high training quality.
• Stay updated with the latest trends in AI, ML, Data Science, and Analytics.
• Participate in demo sessions, workshops, and academic activities to support business and learning goals.

Preferred candidate profile

Experience: 1 to 4 years as a Trainer in a similar Domain.

Skills: Python, SQL, Excel, Power BI/Tableau, statistics, and machine learning, with hands-on experience in

data analysis and visualization. Good training and mentoring skills with the ability to guide students on real-

world datasets and projects.

Education: Any Graduate / Post Graduate with Expertise in Data Science & Analytics.