Data Science Trainer (Full-Time Faculty) in University

HypTechie; Bengaluru; On-site; INR 334,800 - 1,674,000; Full time

Job summary

University is seeking a Data Science Trainer (Full-Time Faculty) in K R Puram, Bangalore to design and deliver data science training modules for university‑level learners.

The ideal candidate has strong Python, SQL, Machine Learning and Tableau skills, plus proven university‑level teaching experience and the ability to develop engaging course materials and hands-on workshops.

Candidates should stay current with industry trends and mentor students through live projects and assessments.

Qualifications

• Strong proficiency in Python, SQL, machine learning algorithms, and Tableau.
• University-level teaching experience in data science or related fields.
• Experience delivering training or workshops in data science subjects.
• Excellent communication and ability to simplify complex topics.
• Strong data analysis and visualization skills.
• At least 2 years of teaching or professional experience in data science.

Responsibilities

• Design and deliver comprehensive training modules in Python, SQL, Machine Learning, and Tableau.
• Develop curriculum and instructional materials to meet learner needs, ensuring up-to-date knowledge in data science and analytics.
• Conduct hands‑on workshops, live projects, and assignments to provide practical knowledge to students.
• Deliver training at the university level and in professional settings, tailoring content to diverse learner groups.
• Monitor and evaluate the progress of trainees through assessments and feedback sessions.
• Stay updated with the latest industry trends and technologies, continuously upgrading course materials.
• Provide mentorship and guidance to students, helping them build their careers in data science.

Skills

Python

SQL

Machine Learning

Education

Graduation

Tools

Tableau

Job description

Data Science Trainer (Full-Time Faculty) in University

• Location: K R Puram, Bangalore
• Salary: ₹30,000 – ₹150,000 per month
• Experience: 4 to 10 years University Teaching
• Education: Graduation
• Work Mode: Work from office (Monday to Friday)

Job Description

We are seeking an enthusiastic and experienced Data Science Faculty to join University in K R Puram, Bangalore. The ideal candidate will have strong expertise in Python, SQL, Machine Learning, AI and Tableau, with a proven track record of delivering engaging and insightful training. University-level teaching experience is essential for this role.

Key Responsibilities

• Design and deliver comprehensive training modules in Python, SQL, Machine Learning, and Tableau.
• Develop curriculum and instructional materials to meet learner needs, ensuring up-to-date knowledge in data science and analytics.
• Conduct hands‑on workshops, live projects, and assignments to provide practical knowledge to students.
• Deliver training at the university level and in professional settings, tailoring content to diverse learner groups.
• Monitor and evaluate the progress of trainees through assessments and feedback sessions.
• Stay updated with the latest industry trends and technologies, continuously upgrading course materials.
• Provide mentorship and guidance to students, helping them build their careers in data science.

Required Skills and Qualifications

• Strong Proficiency in Python, SQL, Machine Learning algorithms, and Tableau.
• University-level teaching experience in data science or related fields.
• Experience in delivering training or workshops in data science‑related subjects.
• Excellent communication skills with the ability to simplify complex topics.
• Strong understanding of data analysis and data visualization techniques.
• Ability to design interactive and engaging training sessions for various learner levels.
• At least 2 years of teaching or professional experience in data science.

Preferred Qualifications

• Bachelor’s, Master’s degree or Certificate in Data Science, or related fields.
• Industry certifications in data science, machine learning, or analytics tools (optional but preferred).