Data Science Trainer
Naresh i Technologies
Role: Data Science Trainer
Company: Naresh i Technologies
About the Role
The Data Science Trainer will deliver high-quality classroom training sessions at Naresh i Technologies’ Hyderabad campus, focusing on core and advanced data science concepts, tools, and applications. This part-time, on-site role involves designing and updating curriculum, preparing lesson plans and teaching materials, and conducting interactive lectures, labs, and assessments to support learner success. The trainer will guide students through foundational topics such as statistics, mathematics, and scientific thinking, as well as practical data analysis, machine learning workflows, and project-based learning.
Key Responsibilities
- Deliver high-quality classroom training sessions.
- Design and update curriculum.
- Prepare lesson plans and teaching materials.
- Conduct interactive lectures, labs, and assessments.
- Guide students through statistics, mathematics, and scientific thinking.
- Guide students through practical data analysis and machine learning workflows.
- Guide students through project-based learning.
- Evaluate student performance.
- Provide constructive feedback.
- Mentor learners on projects and career pathways.
- Collaborate with other trainers to maintain consistent training standards.
- Contribute to workshops and placement-oriented sessions.
- Contribute to the continuous improvement of training methodologies.
Requirements & Tech Stack
- Data science concepts: statistics, machine learning fundamentals, data analysis.
- Programming tools: Python or R.
Qualifications
- Strong Science Education and subject-matter knowledge in areas relevant to data science, such as Physics and Mathematics.
- Qualifications and experience as a Qualified Teacher.
- Proven skills in Lesson Planning and classroom delivery.
- Expertise or significant exposure to data science concepts.
- Effective communication and presentation skills.
- Ability to explain complex topics clearly to diverse learner groups.
- Prior teaching or training experience in technical or STEM disciplines.
- Experience in professional or corporate training environments is an advantage.
- Relevant academic qualifications such as a bachelor’s or master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field are preferred.
- Strong mentoring abilities.
- A learner-focused mindset.
- Ability to manage classroom dynamics and assessments effectively.

