Naresh i Technologies
Website:
nareshit.com
Job details:
Company Description
Naresh i Technologies, established in 2004 and headquartered in Hyderabad, is a premier software training institute known for delivering comprehensive Software Training, IT Consulting, and Project Guidance. Renowned for its state-of-the-art methodologies, the institute equips learners with the skills to enhance business performance, improve productivity, and secure employment through its 100% free placement services and job guarantee programs. Naresh i Technologies also provides immersive learning experiences with advanced eLearning platforms, on-site college training, and real-time projects at its Hyderabad campus featuring modern AC labs and classrooms. A trusted partner for global enterprises and industries, the institute drives innovation in Banking, Telecommunications, Technology, Media, and Education sectors with a mission to create top-notch human resources. Offices and training centers are located in Hyderabad and Chennai, with a strong commitment to empowering students globally.
Role Description
This is a full-time, on-site role based in Hyderabad for a Data Science Trainer. The trainer will design and deliver effective data science education to aspiring learners, covering a range of topics such as data analysis, machine learning, and statistical modeling. Responsibilities include creating lesson plans, conducting engaging lectures, guiding hands-on projects, evaluating students' progress, and staying updated with the latest advancements in data science. Collaboration with the curriculum team for course enhancements and assisting in career mentorship are key components of this role.
Qualifications
- Mandatory to have an experience working as a trainer.
- Proven experience as a Qualified Teacher with excellent teaching and mentorship skills
- Proficiency in Lesson Planning and delivering structured, student-focused instruction
- Knowledge of data science principles such as machine learning, statistical analysis, and programming will be highly valued
- Exceptional communication, organizational, and presentation skills
- Prior experience in academic or technical training is a plus
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