About the RoleWe are looking for a passionate and skilled Python, Data Science & Data Analytics Trainer to join our academic team. The ideal candidate should have strong technical knowledge along with the ability to explain complex concepts in a simple, practical, and engaging manner.

The trainer will be responsible for delivering classroom and practical training, developing course content, conducting assessments, guiding students through projects, and preparing learners for industry-oriented roles.

- Key ResponsibilitiesDeliver engaging and practical training in Python, Data Science, and Data Analytics.
- Teach Python programming from fundamentals to advanced concepts.
- Train students in data analysis, data visualization, and statistical concepts.
- Provide hands-on training through real-world datasets, assignments, case studies, and projects.
- Design and deliver practical exercises, quizzes, assessments, and coding challenges.
- Guide students in developing industry-relevant Data Science and Analytics projects.
- Explain technical concepts clearly to students with different levels of understanding.
- Monitor student performance and provide constructive feedback.
- Keep course content updated according to current industry trends and technologies.
- Assist students with portfolio building, GitHub projects, resume preparation, and interview-oriented technical preparation.
- Maintain training records, attendance, assessment results, and student performance reports.
- Collaborate with the academic team to improve course curriculum and teaching methodologies.

Technical Skills RequiredPython

- Python Fundamentals & Advanced Python
- OOP Concepts
- Functions, Modules & Packages
- Exception Handling
- File Handling
- Data Structures
- Working with APIs
- Jupyter Notebook

Data Analytics

- Data Cleaning & Data Pre-processing
- Exploratory Data Analysis (EDA)
- Statistical Analysis
- Data Interpretation
- Data Visualization




- Reporting & Dashboarding

Libraries & Tools

- NumPy
- Pandas
- Matplotlib
- Seaborn
- Scikit-learn
- Jupyter Notebook / Google Colab
- Excel for Data Analysis
- Power BI and/or Tableau
- SQL / MySQL

Data Science

- Machine Learning Fundamentals
- Supervised & Unsupervised Learning
- Regression & Classification
- Clustering
- Model Evaluation
- Feature Engineering
- Practical ML Projects
- Educational QualificationBachelor's or Master's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Engineering, or a related field.
- Relevant certifications in Python, Data Analytics, Data Science, Power BI, or Machine Learning will be an added advantage.
- Experience1–5 years of experience in Python, Data Analytics, Data Science, or technical training.
- Candidates with solid industry experience and excellent technical knowledge may also be considered.
- Prior experience as a Trainer / Faculty / Technical Instructor / Corporate Trainer is preferred.
- Preferred QualitiesExcellent communication and presentation skills.
- Strong command of spoken and written English.
- Ability to simplify complex technical concepts.
- Strong classroom management and student engagement skills.
- Practical, project-oriented approach to teaching.
- Problem-solving and analytical mindset.
- Ability to work with students from beginner to advanced levels.
- Passion for teaching, mentoring, and technology.
- What We OfferProfessional and growth-oriented work environment.
- Opportunity to work with aspiring technology professionals.
- Freedom to incorporate practical and industry-oriented teaching methodologies.
- Opportunities for professional development and skill enhancement.
- Competitive compensation based on experience, technical expertise, and teaching capability.

How to Apply?

Interested candidates can share their updated CV/Resume along with details of their relevant experience, technical skills, and expected salary.

📌 IT Trainer - Python , Data Science , Data Analytics (New Delhi)
🏢 Edunova Technology
📍 New Delhi