Data Science Trainer

Yess InfoTech; Pune District; On-site; INR 400,000 - 700,000; Full time

Job summary

Yess InfoTech in Pune's Hadapsar area is seeking a Data Science trainer with 2-3 years of hands-on teaching experience to join our on-site program. You will deliver instructor‑led classroom, online and hybrid training sessions, covering Python, Statistics, ML, DL, SQL, visualization, NLP and Generative AI, and design labs.

You will mentor capstone projects, conduct assessments, assist placement teams, and keep content aligned with current industry trends, ensuring high student engagement and

Qualifications

• 2–3 years of experience as a Data Science trainer.
• Experience teaching in Hadapsar, Pune is preferred.
• Proficient in Python and ML concepts.
• Strong knowledge of data visualization tools.

Responsibilities

• Deliver instructor-led classroom, online, and hybrid training sessions in Data Science and related technologies.
• Train students on Python, Statistics, Machine Learning, Deep Learning, SQL, Data Visualization, and AI concepts.
• Design and update course content, lesson plans, assignments, and practical labs.
• Mentor students in capstone projects, case studies, and portfolio development.
• Evaluate student performance through assessments, quizzes, assignments, and mock interviews.

Skills

Python

Statistics

Machine Learning

Deep Learning

Data Analysis

Data Visualization

SQL

NLP

Generative AI

Git

Jupyter Notebook

Tools

TensorFlow

PyTorch

Scikit-learn

Power BI

Tableau

Jupyter Notebook

Job description

2-3 years experience In Office Hadapsar, Pune

Job Description

• Deliver instructor-led classroom, online, and hybrid training sessions in Data Science and related technologies.
• Train students on Python, Statistics, Machine Learning, Deep Learning, SQL, Data Visualization, and AI concepts.
• Design and update course content, lesson plans, assignments, and practical lab exercises based on current industry trends.
• Conduct hands-on training using real-world datasets and industry-oriented projects.
• Mentor students in capstone projects, case studies, and portfolio development.
• Evaluate student performance through assessments, quizzes, assignments, and mock interviews.
• Provide career guidance, resume reviews, and interview preparation for students.
• Support the placement team by conducting technical mock interviews and skill assessments.
• Stay updated with the latest developments in Data Science, Artificial Intelligence, Machine Learning, Generative AI, and data analytics tools.
• Create technical documentation, presentations, and learning resources.
• Assist the business development and marketing teams by conducting technical seminars, webinars, workshops, and demo sessions.
• Collaborate with curriculum designers to continuously improve training programs.
• Ensure high student engagement, satisfaction, and course completion rates.
• Maintain attendance records, training reports, student feedback, and academic documentation.
• Guide students on best coding practices, model development, deployment, and problem-solving techniques.

Technical Skills Required

• Strong knowledge of Python programming.
• Statistics and Probability.
• Machine Learning algorithms using Scikit-learn.
• Deep Learning using TensorFlow and PyTorch.
• Data Analysis using Pandas and NumPy.
• Data Visualization using Matplotlib, Seaborn, Plotly, and Power BI/Tableau.
• SQL and database management.
• Feature Engineering and Model Evaluation.
• Natural Language Processing (NLP).
• Generative AI concepts and LLMs (e.g., OpenAI APIs, LangChain, Retrieval-Augmented Generation).
• Git/GitHub for version control.
• Jupyter Notebook and Google Colab.
• Basic knowledge of cloud platforms such as AWS, Azure, or Google Cloud is an advantage.