Required Trainer for Data Science & Analytics / Full Stack Development

Prayug

Gurugram District

On-site

INR 600,000 - 1,200,000

Full time

14 days+

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Job summary

A leading education and career development platform seeks a passionate Trainer for Data Science & Analytics and Full Stack Development. The ideal candidate will deliver engaging training, mentor students, and update course materials regularly. This is a full-time position aimed at nurturing future-ready skills in learners.

Qualifications

  • Strong knowledge of Data Science, including Python and SQL.
  • Proficiency in Full Stack technologies like HTML, CSS, and JavaScript.
  • Teaching experience preferred.

Responsibilities

  • Deliver training on Data Science and Full Stack Development.
  • Create lesson plans and evaluate student performance.
  • Mentor students with real-world project guidance.

Skills

Python
SQL
Machine Learning
Statistics
Data Visualization
HTML
CSS
JavaScript
Node.js
React.js
Angular
MongoDB

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Tools

LMS platforms
Online training tools

Job description

Required Trainer for Data Science & Analytics / Full Stack Development
Required Trainer for Data Science & Analytics / Full Stack Development

1 week ago Be among the first 25 applicants

Direct message the job poster from Prayug

Prayug is a leading education and career development platform committed to empowering learners with future-ready skills. Our mission is to bridge the gap between academic knowledge and industry demands by offering hands-on training in high-demand fields like Data Science, Analytics, and Full Stack Development. We are looking for a passionate and experienced Trainer to lead our training programs in Data Science & Analytics and Full Stack Development. The ideal candidate will have strong technical expertise, a passion for teaching, and the ability to mentor students through practical, real-world projects.

Prayug is a leading education and career development platform committed to empowering learners with future-ready skills. Our mission is to bridge the gap between academic knowledge and industry demands by offering hands-on training in high-demand fields like Data Science, Analytics, and Full Stack Development. We are looking for a passionate and experienced Trainer to lead our training programs in Data Science & Analytics and Full Stack Development. The ideal candidate will have strong technical expertise, a passion for teaching, and the ability to mentor students through practical, real-world projects.

Key Responsibilities:
  • Deliver live online/offline training sessions on Data Science, Analytics, and Full Stack Development (MERN/MEAN stack preferred)
  • Create structured lesson plans, assignments, and project work aligned with industry standards
  • Provide one-on-one mentorship and guidance to students
  • Evaluate students’ performance and provide constructive feedback
  • Update course content regularly to reflect the latest industry trends and tools
  • Collaborate with the content and placement team to ensure high-quality learning outcomes
Required Skills & Qualifications:
  • Strong knowledge of Python, SQL, Machine Learning, Statistics, and Data Visualization tools (for Data Science)
  • Proficiency in HTML, CSS, JavaScript, Node.js, React.js / Angular, and MongoDB (for Full Stack)
  • Prior experience in teaching, training, or mentoring roles (preferred)
  • Excellent communication and presentation skills
  • Ability to simplify complex topics for learners
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Preferred Qualifications:
  • Certifications in Data Science / Full Stack Development
  • Experience working on real-world projects or in the tech industry
  • Familiarity with LMS platforms and online training tools

Seniority level
  • Seniority level
    Entry level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Education and Training
  • Industries
    E-Learning Providers

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