VenturEdu is a new-age venture school that provides student entrepreneurs with structured access to strategy experts, Series A+ founders, 100+ venture capitalists, in-house capital, and campus-based support across technology, legal, creative, and growth functions. Every participant in our program is required to build, test, and scale a venture, ensuring that knowledge is applied in real time and that education directly translates into venture creation.

Our founding faculty, will form the backbone of this mission. Faculty members creates the world class ecosystem to deliver thought provoking knowledge through advanced teaching methodologies, global cases, research and being the part of the leading national and international conferences as knowledge generators. Through their expertise, our faculty will strengthen VenturEdu's position as a global thought leader in venture creation and entrepreneurial education.

Position Overview :

As a founding faculty you will help in crafting immersive data lab where students turn raw data into insights and create solutions that power the real ventures being created

Key Responsibilities :

- Lead applied data labs in :

Data Science & AI in Business
Python , SQL for Data Management
Big Data & Scalable Architectures

- Guide students in building customer analytics dashboard, predictive dashboards

- Create hands-on sprints where participants deploy Python/SQL workflows, build recommendation engines, and process big datasets.

- Mentor startups in AI adoption strategies, ensuring scalability, cost-effectiveness, and ethical use.

- Publish case studies, research insights, and deal reports emerging from real founder journeys.

Background :

- Masters/PhD in Data Science, AI, Computer Science from reputed Institutes

- 2+ years of experience in teaching, research, Corporate or entrepreneurship ecosystem

- Strong expertise in Python, SQL, Big Data platforms (Hadoop/Spark/Cloud), and applied AI tools

- Entrepreneurial mindset to integrate academic learning with real-world venture execution.