Work culture and salary structure - Data Scientist bei Intellipattern Software Solutions: Mitarbeiterbewertung

Good hands-on practice with Python, SQL, ML algorithms, and visualization tools. Structured learning material and mentorship support. Flexible schedule, suitable for working professionals and freshers.

Internship is more academic than fully industry-like. Networking opportunities are limited compared to corporate internships. Self-learning is required; mentorship may not be deeply personalized.

There's nothing good to add

9-hour working schedule, which often gets extended to a minimum of 10-11 hours. Bad management, everything is manual work. They make us work even on national holidays.