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Data Science Instructor (Bahadurguda)

1.00 to 10.00 Years   Hyderabad   17 Aug, 2026
upGrad
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryEducation / Training
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    Job Title: Part-time Data Science Instructor Offline Learning Centre Location: Madhapur, Hyderabad Employment Type: Part-time Working Schedule: Flexible (Weekdays and weekends based on batch schedules) About upGrad Founded in 2015, upGrad is Asias largest integrated Learning, Skilling, Workforce Development, and Placement company. Its offerings include online and hybrid degrees, study abroad programs, certifications, bootcamps, and doctorates for working professionals. Through its B2B arm, upGrad also provides enterprise training, recruitment, and staffing services. With 10M learners across 100 countries, 300 global university partners, 2,500 pathway connections, and 20,000 recruitment partners, upGrad continues to empower careers worldwide. Learn more: www.Upgrad.Com/offline-centres About the Role We are looking for passionate and experienced Part-time Data Science Instructors to join our Offline Learning Centre in Kolkata. In this role, you will deliver engaging classroom sessions in Data Science, Machine Learning, Deep Learning, Python, SQL, and related technologies to students and working professionals. This prospect is ideal for industry professionals, corporate trainers, freelancers, or academicians who are passionate about teaching and mentoring while maintaining flexibility in their schedules. Why Join upGrad Offline Learning Centres1. Flexible Teaching Schedule Conduct classes during evenings or weekends, allowing you to balance your professional commitments while sharing your expertise. 2. Teach Future Data Professionals Mentor aspiring data scientists through industry-focused curriculum, practical projects, and real-world case studies. 3. Access to upGrad Learning Enjoy complimentary access to upGrad learning programs and continuous opportunities to enhance your own skills. 4. Industry Exposure Work alongside experienced academic teams and contribute to delivering high-quality learning experiences. 5. Professional Network .

Keyskills :
Data ScienceMachine LearningDeep LearningPython

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