Data Analytics, Data Science & AI/ML Trainer Job in Vadodara
Join eCare Infoway LLP in a teaching-focused role combining Data Analytics, Data Science, Machine Learning and AI with one equally important requirement: the ability to explain complex technical topics simply and clearly.
About the Role
As a Data Analytics, Data Science & AI/ML Trainer at eCare Infoway LLP in Vadodara, you will teach practical skills across Python, SQL, Excel, statistics, data visualisation, Machine Learning and Artificial Intelligence.
The role is built around practical, project-based learning rather than theory alone. Technical knowledge and teaching ability carry equal weight: we need someone who can make difficult concepts understandable to beginners, answer questions patiently and guide learners through real exercises and projects.
Your Responsibilities Will Include
- Deliver practical training in Data Analytics, Data Science and AI/ML concepts.
- Teach Python, SQL, Excel, statistics and data-handling fundamentals.
- Explain practical use of Pandas, NumPy and data-visualisation tools.
- Teach data visualisation using Matplotlib and Power BI and/or Tableau.
- Introduce Machine Learning, Artificial Intelligence and Generative AI through understandable examples and practical exercises.
- Create assignments, exercises, case studies and project-based learning activities.
- Guide students through hands-on projects and provide individual mentoring and doubt-solving support.
- Adapt explanations and teaching pace for learners with different levels of technical understanding.
- Review learner progress and provide constructive feedback.
- Keep course content updated as data, AI and analytics tools evolve.
Required Skills & Knowledge
Strengths We Value
- Patient, structured and learner-focused teaching.
- Practical project and real-dataset orientation.
- Ability to simplify complex technical concepts.
- Continuous learning as analytics and AI technologies evolve.
Who Should Apply
This role is suitable for trainers, faculty members, mentors or technical professionals who enjoy teaching and can demonstrate both subject knowledge and clear explanation ability.
Knowledge of Cyber Security and/or Cloud Computing is an added advantage, but it is not a mandatory requirement for the core Data Analytics, Data Science and AI/ML Trainer position. Shortlisted candidates may be asked to deliver a short practical demo session.
Job Location
408, Trivia Complex, Natubhai Circle
Vadodara, Gujarat – 390007
India
Frequently Asked Questions
Is this a Data Science Trainer job in Vadodara?
Yes. The position is based at eCare Infoway LLP in Vadodara and focuses on training learners in Data Analytics, Data Science, Machine Learning and AI.
Which subjects should the trainer know?
Core areas include Python, SQL, Excel, statistics, Pandas, NumPy, data visualisation, Power BI and/or Tableau, Machine Learning, Artificial Intelligence and Generative AI fundamentals.
How important is teaching ability?
Teaching ability is essential and carries equal weight with technical knowledge. Candidates should be able to explain difficult technical topics simply and patiently.
Which languages are useful for this trainer role?
The ability to teach in English, Hindi and/or Gujarati is valuable because training may be delivered to different learner groups.
Are Cyber Security and Cloud Computing mandatory?
No. Knowledge in Cyber Security or Cloud Computing is an added advantage, not a mandatory requirement for the core role.
What is the approximate budget for this trainer position?
The indicative budget is around ₹25,000 per month, depending on technical knowledge, teaching ability and experience. Final compensation is discussed during selection.
What happens after I apply?
Applications are reviewed against the role requirements. Shortlisted candidates may be invited for an interview and a short practical teaching or demo session.
How can I apply?
Use the Apply Now button on this page and submit your latest resume through the eCare Infoway application process. A teaching sample or technical profile can strengthen your application.
Teach skills that are shaping the future.
If you can make data, Python and AI easier to understand, we would like to see how you teach.
