Data Science Trainer

Role & responsibilities

• Deliver training on Data Science, Data Analytics, Python, SQL, Excel, Power BI/Tableau, AI, ML, NLP, and Generative AI.
• Prepare training materials, assignments, and real-time projects.
• Guide students on hands-on projects and Git/GitHub submissions.
• Conduct assessments, mock interviews, and resume guidance.
• Mentor students in data analysis, visualization, and model building.
• Support placement readiness through project and portfolio development.
• Participate in demo sessions, seminars, and promotional activities.
• Maintain student progress, discipline, and a positive learning environment.
• Stay updated with the latest Data Science, AI/ML, and Generative AI trends and incorporate them into the training curriculum.
• Monitor student performance, provide regular feedback, and ensure timely syllabus completion.
• Collaborate with the academic and placement teams to enhance student learning outcomes and placement success.

Preferred candidate profile

• Experience: 1 to 3 Years as a Data Science/Data Analytics Trainer.
• Strong expertise in: Python, SQL, Advanced Excel, Power BI/Tableau, Statistics, Machine Learning (ML), AI & Generative AI.
• Hands-on experience in Data Analysis, Data Visualization, and Real-time Projects.
• Excellent training, mentoring, and communication skills.
• Ability to guide students on industry-level projects, Git/GitHub, and placement preparation.
• Education: Any Graduate/Post Graduate with specialization or expertise in Data Science & Analytics.