Data Science Trainer

Role & responsibilities

• Deliver training on Data Analytics, Data Science, AI/ML, NLP, Python, SQL, Excel, Power BI/Tableau, and Generative AI.
• Conduct hands-on practical sessions, coding exercises, assignments, and real-time projects.
• Mentor students in data analysis, visualization, machine learning, and model building.
• Prepare and update training materials, course content, and industry-relevant case studies.
• Evaluate student performance through assignments, tests, project reviews, and assessments.
• Guide students in Git/GitHub, portfolio development, and project documentation.
• Conduct technical mock interviews and provide resume-building support.
• Ensure students are industry-ready with practical knowledge and problem-solving skills.
• Participate in demo sessions, technical workshops, seminars, and knowledge-sharing activities.
• Maintain student attendance, progress reports, classroom discipline, and a positive learning environment.

Preferred candidate profile

• Experience: 1 to 4years of experience as a Data Science Trainer, Data Analytics Trainer, or Technical Trainer.
• Skills: Strong knowledge of Python, SQL, Excel, Power BI/Tableau, Statistics, Machine Learning, AI/ML, and hands-on experience with real-world datasets and projects.
• Education: Bachelor's/Master's degree in any discipline with expertise in Data Science, Analytics, and excellent training, mentoring, and communication skills.