Data Science Instructor

upGrad; Gurugram District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

upGrad seeks an Instructor for Offline Learning Centres to deliver in-person sessions in Data Science, Machine Learning, Deep Learning, and related domains. You will guide learners through concepts, case studies, and projects to ensure strong understanding and real-world application.

Collaborating with Centre Managers and academic teams, you will mentor students, monitor progress, and keep content aligned with industry trends.

Qualifications

• Minimum 2+ years of teaching/training experience in Data Science or Machine Learning.
• Proficiency in Python; knowledge of SQL and Excel.
• Solid grasp of ML/DL concepts (Regression, Trees, Neural Networks, NLP, etc.).
• Strong communication, presentation and mentoring skills.
• Comfortable with classroom and online teaching (camera-facing).
• BE/B.Tech minimum; Postgraduate preferred.

Responsibilities

• Deliver in-person lectures and training sessions in Data Science, Machine Learning, Deep Learning and related domains.
• Guide learners through concepts, case studies, and projects to ensure strong understanding and application.
• Collaborate with Centre Managers and academic teams to monitor learner progress and outcomes.
• Support students with doubt-solving, mentorship, and building career-ready skills.
• Continuously update knowledge and content to stay current with industry trends and tools.

Skills

Teaching experience

Python programming

SQL

Excel

ML/DL concepts

Communication skills

Mentoring

Camera-facing teaching

Education

BE/ B.Tech (minimum)

Postgraduate degree preferred

Tools

Python

SQL

Excel

Job description

About upGrad

Founded in 2015, upGrad is Asia’s 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, 2500+ pathway connections, and 20,000+ recruitment partners, upGrad continues to empower careers worldwide.

Learn more: www.upgrad.com/offline-centres

About the Role

As an Instructor at our Offline Learning Centres, you will deliver engaging sessions in Data Science, Machine Learning, Deep Learning, and related fields to students and working professionals. You will play a vital role in ensuring high-quality learning outcomes through classroom teaching, mentorship, and academic support. This is a unique opportunity to combine your passion for technology and education, while shaping the careers of tomorrow.

Key Responsibilities

• Deliver in-person lectures and training sessions in Data Science, Machine Learning, Deep Learning and related domains.
• Guide learners through concepts, case studies, and projects to ensure strong understanding and application.
• Collaborate with Centre Managers and academic teams to monitor learner progress and outcomes.
• Support students with doubt-solving, mentorship, and building career-ready skills.
• Continuously update knowledge and content to stay current with industry trends and tools.

Skills & Experience

• Minimum 2+ years of teaching/training experience in Data Science, Machine Learning, or related fields.
• Strong programming skills in Python and understanding of SQL, Excel.
• Solid grasp of ML/DL concepts such as Regression, Decision Trees, Random Forests, Ensemble methods, Neural Networks, NLP, Recommendation Systems, etc.
• Strong communication, presentation, and mentoring skills.
• Comfortable with both classroom delivery and online teaching (camera-facing).
• Education: BE/ B.Tech (minimum); Postgraduate preferred.

Equal Opportunity

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. All employment is decided on the basis of qualifications, merit, and business need.