same as "great working environment, so-so work" which is a very reliable reference
1. Similar projects - the principle of the project never changes, it might get harder but that's simply because the company wants to make the deliverable look good by providing more data.
2. Modeling sometimes does not sound as glamorous as it actually is - to satisfy clients needs, altering statistically significant numbers is inevitable due to limitations
3. Proprietary modeling program - poor program which is slow and buggy. Non-transferable skill and it's tailored in a way such that people with essentially little to no knowledge about statistics can work with the program. It can clearly be done with SAS instead of that ancient program.
4. Only Excel and Powerpoint skills are needed
5. Poor compensation overall compare to most industries
6. Reviews are not effective and biased - missing constant useful feedback and always biased
7. There's a tendency that they only hire new graduates - why? cheap and easy to be replaced
8. Don't be too smart - you will be treated better if you ask easy questions to show you are engaged.
9. Very little to 0 client exposure in early years