Good - Data Scientist Contriver Employee Review

Exposure to multiple domains – Works across software development, IoT, CAD, renewable energy, and AI-related initiatives. Internship opportunities – Offers internships that can help students gain practical experience and build portfolios. Hands-on learning – Emphasizes workshops and project-based training rather than only theoretical concepts.

Variable experience – The quality of mentoring and projects may depend on the specific team or supervisor you're assigned. Less exposure to large-scale enterprise systems – Depending on the project, you may not get experience with the scale and processes found in major multinational companies.

Great hands-on exposure to real-world AI/ML and full-stack projects, supportive team for a fresher.

Limited internship duration meant some skills needed more time to master before completion.