IT Trainer - Python , Data Science , Data Analytics

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 strong 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.