SAP Data Science reviews

3.9

66% would recommend to a friend

(84 total reviews)
avatar

Christian Klein

99% approve of CEO

43% positive business outlook

Data Science employees have rated SAP with 3.9 out of 5 stars, based on 84 company reviews on Glassdoor. This indicates that most Data Science professionals have a good working experience there. SAP is rated in line with the average (within 1 standard deviation) by Data Science professionals compared to other employers within the Information Technology industry (3.9 stars).

Reviews by job title

84 reviews
5.0
Mar 28, 2025

OK

Recommend
CEO approval
Business Outlook

Pros

Top professionals, great infrastructure and it.

Cons

Slow progression, extended reporting line

4.0
Jan 8, 2025
Recommend
CEO approval
Business Outlook

Pros

Good benefits like food and good work culture

Cons

hike is minimal compared to others

3.0
Nov 1, 2024
Recommend
CEO approval
Business Outlook

Pros

- Great emphasis on work/life balance, especially for those who have families. The family-related benefits in particular seem relatively better vs. most companies in Singapore, allowing you to have more time & focus on your family. - Can periodically provide free food, especially for medium-large events. India & Germany offices have free food 24/7 from what I heard. - Monetary compensation and/or benefits are decent for a big tech company, but relatively amazing vs. other European tech companies. Stock benefit program in particular is quite flexible, allowing you better control of the stock benefits that you get. - Have a good sense of striving for innovation and adapt to current technologies, even though the adoption rate may be on the slower-side compared to other tech companies. - Starting to adopt a more 'fast & agile' approach while trying to balance out work/life balance , which is great for those looking for early career or introduction into the tech sector, especially Business/HR-related software products.

Cons

- Notable inefficiencies in management, i.e. getting things done/into production can be quite slow due to company size & European-style bureaucracy. - Career progression for jobs under technical tracks (Engineering, Data Science/Research) are usually rather slow due to aforementioned company size & bureaucracy. - Company size also mean impact of work/contribution may not be properly compensated & compensated, unless you have close connection to the 'top management'. This results in top talent to leave company rather early to pursue progression in other companies instead.

Viewing 13 - 15 of 84 Reviews

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