Python And Data Science Trainer

About the job

Company Description S2P EDUTECH is an education-focused organization dedicated to helping undergraduate students make the most of their academic years by building strong career-ready skills. The team is composed of experienced professionals with extensive backgrounds in multinational companies in India and abroad. The company provides high-quality training in campus recruitment preparation, technical campus recruitment, programming languages, and skill development. S2P EDUTECH also offers end-to-end placement assistance, aiming to bridge the gap between academic learning and industry expectations.Role Description This is a full-time, on-site Python and Data Science Trainer role based in Nagpur. The trainer will design and deliver structured courses in Python programming, data science fundamentals, and related tools to undergraduate learners and early-career professionals. Day-to-day responsibilities include preparing lesson plans, creating instructional materials, conducting interactive classroom sessions, and guiding learners through hands-on coding exercises, projects, and assessments. The trainer will monitor learner progress, provide feedback and mentoring, and adapt teaching methods to diverse learning styles. Additional responsibilities may include contributing to curriculum development, collaborating with the academic coordination team, and supporting placement-focused training initiatives.Qualifications

• Strong foundation in Science Education with the ability to connect Python and data science concepts to real-world scientific and analytical applications.
• Solid understanding of Mathematics, including statistics and basic linear algebra, to support data analysis and machine learning topics.
• Background in Physics or related quantitative disciplines is beneficial for explaining analytical problem-solving and modelling.
• Qualified Teacher or trainer with experience in lesson planning, classroom management, and assessment of learner performance.
• Hands-on proficiency in Python, data analysis libraries (e.g., NumPy, pandas), and data visualization tools (e.g., Matplotlib, Seaborn); exposure to machine learning frameworks is an advantage.
• Excellent communication and presentation skills, with the ability to explain complex concepts clearly to learners at different levels.
• Bachelors or Masters degree in Computer Science, Data Science, Engineering, Mathematics, Physics, or a related field.
• Experience in academic training, corporate training, or edtech is preferred, along with a learner-centric and inclusive teaching approach.

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