Data Science Trainer

Data Science Trainer

Key Responsibilities

• Conduct offline and online training sessions on

  Python for Data Science

  ,

  Machine Learning

  ,

  Deep Learning

  ,

  Data Analysis

  , and

  Visualization Tools

  .
• Teach essential libraries and frameworks such as

  NumPy

  ,

  Pandas

  ,

  Matplotlib

  ,

  Seaborn

  ,

  Scikit-Learn

  ,

  TensorFlow

  , and

  Keras

  .
• Explain real-time industry use cases, project workflows, and end-to-end model building.
• Guide students through hands-on exercises, practical assignments, and real datasets.
• Provide doubt-clearing, mentoring, and interview preparation support.
• Create and update training materials, project tasks, assessments, and documentation.
• Stay updated with the latest trends in Data Science, AI/ML, and analytics tools.
• Contribute to curriculum enhancement and overall training quality improvement.
• Participate in mock interviews and help students prepare for job roles.
  

Required Skills & Expertise

• Strong expertise in

  Python Programming

  ,

  Data Analysis

  ,

  Machine Learning algorithms

  , and

  Deep Learning

  .
• Proficiency in

  NumPy

  ,

  Pandas

  ,

  Matplotlib

  ,

  Seaborn

  ,

  Scikit-Learn

  ,

  TensorFlow/Keras

  , and

  Jupyter Notebook

  .
• Good understanding of

  Statistics

  ,

  Linear Algebra

  ,

  Data Preprocessing

  , and

  Model Evaluation

  .
• Familiarity with

  SQL

  ,

  Power BI/Tableau

  (preferred).
• Knowledge of

  NLP

  ,

  Computer Vision

  , or

  Big Data tools

  is an added advantage.
• Excellent communication and presentation skills.
• Ability to simplify complex concepts for beginners.
  

Why Join Uncodemy?

• Opportunity to shape careers in one of the most in-demand fields.
• Supportive and innovative work culture.
• Freedom to design and deliver high-quality, practical training.
• Work with a fast-growing edtech brand.