Data Science Instructor Lucknow (India)

Data Science Instructor

Confidential company is seeking a passionate and knowledgeable Data Science Instructor to join our Kanpur branch. The ideal candidate should have hands-on experience in Data Science concepts and the ability to train students through practical and industry-oriented sessions.

Key Responsibilities

• Deliver engaging classroom and practical sessions on Data Science.
• Train students in Python, Statistics, Machine Learning, Deep Learning, SQL, and Power BI.
• Guide students on real-time projects, assignments, and case studies.
• Conduct assessments, monitor student progress, and provide feedback.
• Assist students with interview preparation, resume building, and placement activities.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• 1–3 years of experience in Data Science training or industry projects.
• Robust knowledge of Python, Pandas, NumPy, Scikit-learn, SQL, and Power BI.
• Familiarity with Machine Learning and Deep Learning concepts.
• Excellent communication and presentation skills.

Job Details

Location: Lucknow and Allahabad, Uttar Pradesh

Job Type: Full-time

Mode: In office

Experience: 1–3 Years

• Develop and deliver engaging lessons and workshops on core data science topics, with a robust emphasis on SQL and Python programming.
• Guide students through foundational machine learning models, including linear regression, logistic regression, decision trees, and random forests, ensuring they grasp both the theory and practical application.
• Design and facilitate compelling hands-on projects that allow students to apply their knowledge and build a portfolio of work. We expect you to have demonstrative experience with projects in Python and machine learning.
• Explain complex technical concepts clearly and concisely, making them accessible to a diverse group of learners.
• Provide constructive feedback and mentorship, supporting students as they navigate challenges and deepen their und