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Job Description

Company Description

Naresh i Technologies (NareshIT) is a premier software training institute offering professional Software Training, Project Guidance, IT Consulting, and Technology Workshops. With a comprehensive eLearning platform and innovative training methodologies, the institute is dedicated to enhancing learning experiences and improving career outcomes for students. Headquartered in Hyderabad, India, NareshIT serves global clients across industries, providing high-value corporate training and 100% free placement services through regular campus drives. The institute emphasizes hands-on experience through internship programs and real-time projects at its advanced facilities. Since 2004, NareshIT has established itself as a trusted partner in developing skilled professionals and fostering industry excellence.

Role Description

This is a part-time, on-site role located in Hyderabad for the position of Data Science Trainer. The Data Science Trainer will design and deliver training sessions on data science concepts, prepare lesson plans, and ensure students gain practical knowledge. The trainer will engage with students to clarify concepts, assist with real-world project implementation, and provide guidance for their development in data science. Additionally, the trainer will stay updated on emerging technologies to enhance the curriculum and contribute to students job readiness.

Qualifications

  • Mandatory to have an experience as a trainer.
  • Experience as a Qualified Teacher with a strong ability to create and implement effective Lesson Planning
  • Excellent communication skills and an ability to engage with diverse learners
  • Proficiency in Data Science concepts, tools, and techniques
  • Prior experience as a trainer, educator, or mentor in technology or scientific disciplines, preferably with students or professionals
  • Passion for teaching and strong dedication to enhancing student learning outcomes
  • Bachelor's degree in a related field; Master's degree or certifications in Data Science or related areas are a plus

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Job ID: 145057469