Urgently Hiring For Data Science & Analytics Trainer

Job Title: Data Science & Analytics Trainer

Location: Thane
Employment Type: Full-time
Experience Required: 2–3 years (Industry + Training preferred) Freshers are Welcome!

Key Roles & Responsibilities:-

• Deliver classroom / online training in Data Science & Machine Learning
• Design, update, and maintain course curriculum, lesson plans, and training materials
• Teach core concepts including:
• Python for Data Science
• Statistics & Probability
• Machine Learning (Supervised & Unsupervised)
• Deep Learning basics
• SQL & Data Handling
• Data Visualization (Matplotlib, Seaborn, Power BI / Tableau)
• Guide students through real-time projects and case studies
• Conduct assignments, quizzes, mock interviews, and assessments
• Explain complex technical concepts in a clear and simple manner
• Provide career mentoring, interview preparation, and resume guidance
• Stay updated with emerging trends in AI, ML, and Data Science
• Support placement activities and corporate training programs (if required)

Required Skills & Qualifications

• Bachelor’s / Master’s degree in Computer Science, Data Science, AI, Statistics, Mathematics, or related field
• Strong hands-on experience in:
• Python (NumPy, Pandas, Scikit-learn)
• Machine Learning algorithms
• SQL and data preprocessing
• Deep Learning frameworks (TensorFlow / PyTorch – preferred)
• Solid understanding of statistics and linear algebra
• Excellent communication and presentation skills
• Ability to train freshers and working professionals

Preferred Qualifications:-

• Industry experience as a Data Scientist / ML Engineer
• Prior teaching or training experience
• Experience with real-world datasets and deployment basics
• Fresher's are welcome

Benefits:-

• Competitive salary
• Opportunity to work with aspiring data professionals
• Professional development and certification support
• Positive learning-focused work environment

Job Type: Full-time

Pay: ₹25,000.00 - ₹35,000.00 per month

Benefits:

• Paid sick time

Work Location: In person