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Data Science Trainer

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Deliver classroom or online training on Python, SQL, statistics, ML and visualization

  • Create and update course materials, projects, assignments, and quizzes

  • Evaluate student performance and give constructive feedback

  • Mentor students during capstone projects and industry case studies

  • Help develop new courses and curriculum

From the employer’s posting
Deliver engaging classroom and/or online training sessions on topics including
Create and update course materials, projects, assignments, and quizzes.
Evaluate student performance, provide constructive feedback, and track progress.
Mentor students during capstone projects and industry case studies.
Assist with the development of new courses and curriculum as needed.

What you’ll bring

All qualifications

Core experience

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field
  • Proficiency in Python, SQL, and data libraries such as Pandas and NumPy
  • Hands-on knowledge of machine learning frameworks like Scikit-learn, TensorFlow, or Keras
  • Experience with Power BI, Tableau, or Matplotlib/Seaborn
  • Strong communication, presentation, and mentoring skills
Qualification wording
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
Proficiency in Python, SQL, and data handling libraries (Pandas, NumPy, etc.).
Hands-on knowledge of machine learning algorithms and frameworks like Scikit-learn, TensorFlow, or Keras.
Experience with visualization tools like Power BI, Tableau, or Matplotlib/Seaborn.
Strong communication, presentation, and mentoring skills.
Education & alternatives
Requirements - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. - Proficiency in Python, SQL, and data handling libraries (Pandas, NumPy, etc.).
Apply at Fireblaze AI School

Posting record

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Open 3 monthsWe first saw this posting 106 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 22, 2026106 days ago
Recorded sightings
173
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 106

Up longer than most. Similar jobs usually come down between day 8 and day 53.

From 36,425 similar postings that came down. Coming down is not always a hire.

Fireblaze AI School is hiring

10 open jobs

  • No new data jobs since July
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Excel
  • Power BI
  • Tableau
  • Keras
  • Matplotlib
  • NumPy
  • pandas
  • scikit-learn
  • TensorFlow
Where the posting names them
- Deliver engaging classroom and/or online training sessions on topics including: - Python for Data Science - Data Analytics using Excel and SQL
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. - Proficiency in Python, SQL, and data handling libraries (Pandas, NumPy, etc.). - Hands-on knowledge of machine learning algorithms and frameworks like Scikit-learn, TensorFlow, or Keras.
- Python for Data Science - Data Analytics using Excel and SQL - Statistics and Probability
- Machine Learning and Deep Learning - Data Visualization using Power BI / Tableau - Create and update course materials, projects, assignments, and quizzes.
- Hands-on knowledge of machine learning algorithms and frameworks like Scikit-learn, TensorFlow, or Keras. - Experience with visualization tools like Power BI, Tableau, or Matplotlib/Seaborn. - Strong communication, presentation, and mentoring skills.
- Proficiency in Python, SQL, and data handling libraries (Pandas, NumPy, etc.). - Hands-on knowledge of machine learning algorithms and frameworks like Scikit-learn, TensorFlow, or Keras. - Experience with visualization tools like Power BI, Tableau, or Matplotlib/Seaborn.

Your next step

Complete your application on fireblazeaischool.zohorecruit.in. The employer’s form will show what is required.

Already applied? Track this application

Has Fireblaze AI School posted this job before?

Yes. We’ve followed 3 other Data Science Trainer jobs there since June 2026. All 3 are still up.

  1. NagpurStill up after 156 days, first seen Jun 3
  2. NagpurStill up after 156 days, first seen Jun 3
  3. NagpurStill up after 156 days, first seen Jun 3
  4. This jobUp 106 days so far, first seen Jul 22

Large employers often post one title for several teams, so these can be separate openings.

Job description

View original posting ↗

    • Deliver engaging classroom and/or online training sessions on topics including:

    • Python for Data Science

    • Data Analytics using Excel and SQL

    • Statistics and Probability

    • Machine Learning and Deep Learning

    • Data Visualization using Power BI / Tableau

    • Create and update course materials, projects, assignments, and quizzes.

    • Provide hands-on training and real-world project guidance.

    • Evaluate student performance, provide constructive feedback, and track progress.

    • Stay updated with the latest trends, tools, and technologies in Data Science.

    • Mentor students during capstone projects and industry case studies.

    • Coordinate with the academic and operations team for batch planning and feedback.

    • Assist with the development of new courses and curriculum as needed.



Requirements

    • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.

    • Proficiency in Python, SQL, and data handling libraries (Pandas, NumPy, etc.).

    • Hands-on knowledge of machine learning algorithms and frameworks like Scikit-learn, TensorFlow, or Keras.

    • Experience with visualization tools like Power BI, Tableau, or Matplotlib/Seaborn.

    • Strong communication, presentation, and mentoring skills.

    • Prior teaching/training experience is a strong advantage.

    • Certification in Data Science or Machine Learning (preferred but not mandatory).



Source details

View original posting ↗

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Pay

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Location & working pattern

Nagpur, India

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