Data science Trainer

Cognition Technology Pvt. Ltd.

Pune District

On-site

INR 600,000 - 900,000

Full time

14 days+

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Job summary

Cognition Technology Pvt. Ltd. is seeking a passionate Data Science Trainer to deliver high-quality training programs in Python, Data Analytics, Machine Learning, and Artificial Intelligence.

The role involves mentoring students and professionals to develop industry-ready DS skills. Responsibilities include delivering sessions, developing materials and hands-on projects, and guiding candidates through mock interviews and placement activities.

Qualifications

  • Strong knowledge of Python Programming.
  • Good understanding of Data Analytics and data visualization.
  • Hands-on experience with Machine Learning using Scikit‑learn.
  • Knowledge of Artificial Intelligence, Generative AI, and prompt engineering.
  • Experience with SQL and database concepts.
  • Familiarity with Jupyter Notebook, Google Colab, and Git.
  • Excellent presentation, communication, and mentoring skills.
  • Ability to simplify complex technical concepts for learners.

Responsibilities

  • Deliver classroom and online training sessions on Data Science concepts.
  • Teach Python programming from basics to advanced topics.
  • Train candidates in Data Analytics using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
  • Explain Machine Learning algorithms and their real-world applications.
  • Introduce Artificial Intelligence concepts, including Generative AI and Large Language Models (LLMs).
  • Develop training materials, assignments, case studies, and hands-on projects.
  • Conduct coding exercises, mock interviews, and technical assessments.
  • Mentor students on capstone projects and career preparation.
  • Stay updated with the latest trends and technologies in Data Science and AI.
  • Support placement activities by preparing candidates for technical interviews.

Skills

Python Programming
Data Analytics
Machine Learning
Artificial Intelligence
SQL
Jupyter Notebook
Google Colab
Git
Presentation & Mentoring

Tools

Pandas
NumPy
Matplotlib
Seaborn

Job description

Role & responsibilities

We are looking for a passionate and knowledgeable Data Science Trainer to deliver high-quality training programs in Python, Data Analytics, Machine Learning, and Artificial Intelligence. The ideal candidate should have strong technical expertise, excellent communication skills, and the ability to mentor students and professionals in developing industry‑ready data science skills.

Key Responsibilities
  • Deliver classroom and online training sessions on Data Science concepts.
  • Teach Python programming from basics to advanced topics.
  • Train candidates in Data Analytics using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
  • Explain Machine Learning algorithms and their real‑world applications.
  • Introduce Artificial Intelligence concepts, including Generative AI and Large Language Models (LLMs).
  • Develop training materials, assignments, case studies, and hands‑on projects.
  • Conduct coding exercises, mock interviews, and technical assessments.
  • Mentor students on capstone projects and career preparation.
  • Stay updated with the latest trends and technologies in Data Science and AI.
  • Support placement activities by preparing candidates for technical interviews.
Required Skills
  • Strong knowledge of Python Programming.
  • Good understanding of Data Analytics and data visualization.
  • Hands‑on experience with Machine Learning using Scikit‑learn.
  • Knowledge of Artificial Intelligence, Generative AI, and prompt engineering.
  • Experience with SQL and database concepts.
  • Familiarity with Jupyter Notebook, Google Colab, and Git.
  • Excellent presentation, communication, and mentoring skills.
  • Ability to simplify complex technical concepts for learners.
Preferred candidate profile
  • Strong knowledge of Python, Data Analytics, Machine Learning, and Artificial Intelligence.
  • Good communication and presentation skills.
  • Passion for teaching, mentoring, and guiding students.
  • Hands‑on experience with real‑time projects is preferred.
  • Prior training or industry experience in Data Science is an added advantage.
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