Very poor experience!! - Data Scientist Fractal Employee Review

1.0
Nov 13, 2022
Recommend
CEO approval
Business outlook

Pros

1. Good place for developing technical expertise. 2. 100% WFH (as of now). 3. Flexible work timings. 4. Unlimited leaves (but obviously depends on the team) 5. Opportunity to work in AI, ML only if lucky enough to get the opportunity to work in the right team. Most of the projects are on analytics per se, and not Data Science. 6. ESOPs (vesting over next 4 years).

Cons

1. Core Data Science projects not available. 2. Make sure to go through the JD well and connect with hiring manager before joining. 3. Do not join CPG practice. Work-life balance isn't good here. Too much client-centric and very little employee-centric. 4. Too much micromanagement. 5. Unlimited leave policy seems to be a joke. 6. The salary structure is poor in terms of retirement benefits. 7. Worst HRs ever. No clarity on job role, salary structure, no interview round with hiring manager. 8. No leave encashment policy.

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Fractal Response
3y
Would you be able to speak with me (confidentially)? I am happy to set you up in the right team at Fractal so that you can do more "data science" work. Wish you all the best. Srikanth

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5.0
May 21, 2026
Recommend
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Pros

Good place to work Friendly lead

Cons

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3.0
Apr 25, 2026
Recommend
CEO approval
Business outlook

Pros

The company's client centricity is exceptional, with a deeply embedded focus on delivering value, reflected in a strong and loyal client base built on high levels of trust and credibility. There is a significant commitment to AI research and forward looking capabilities, alongside a clear investment in building a people first culture over time. The company is well regarded in the market with a strong foundation for continued growth

Cons

TMT suffers from ineffective leadership at the helm with little visible effort to grow capabilities or drive meaningful outcomes. Exec contribution to growth is largely absent, making the net impact negative. Cultural values are not consistently reflected in day to day execution. It has a pattern of positioning other teams negatively including Growth, Tech, AI, and PA rather than partnering, which creates real friction with them resulting in loss of opportunities. There is genuine talent within the team being held back by leadership that prioritizes internal politics over building real capability, resulting in shallow vertical capabilities. The gap between what the company expects and what leadership enables the team to deliver is significant and consistently unaddressed

4
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