Data Scientist· BengaluruCurrent employee4.0/5
Balanced WFH Company
Pros: Has Good Work environment, Good people are there.
Cons: Didn't feel any as of now.
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Inxite Out drives the value of your data inside out. We are a growing and passionate group of Datapreneurs and Business specialists who strive to achieve the best results for our customers. We partner with businesses to accelerate their AI journey to achieve Transformative Business Impact, Reliably, and at Scale. Our AI processes ensure alignment between data, business, and technology to achieve true Enterprise AI
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Culture signals
- Work-life balance 4.3
- Compensation 3.9
- Culture 4.3
What employees say
+ Has Good Work environment, Good people are there.
− Didn't feel any as of now.
Employee voices
Recent Glassdoor reviews · 21 total
Senior Analyst· BengaluruCurrent employee5.0/5
Very good place to be
Pros: Company is in growing stage. Good time to be part of the Company. Good work life balance (until now) WFH with 'work from office week' once in a few months
Cons: Less clarity on company goals and future plans Less number of leaves Less collaboration internally for employees working on client projects
View on GlassdoorData Scientist· BengaluruCurrent employee4.0/5
Preety good work environment
Pros: Good work life balance. Good ethics.
Cons: Not anything from my side
View on GlassdoorManager· BengaluruCurrent employee5.0/5
True Example for Start Ups
Pros: Gives full autonomy in deciding your processes and approval chain does not take forever to translate into action. Employee well being is a key factor while making decisions From PMS to Promotions are well thought through and good performers are rewarded fairly. Constantly changing and aligns with corporate culture
Cons: Has less of a brand value
View on GlassdoorData Analyst· BengaluruCurrent employee5.0/5
Good place to work
Pros: Good work life balance. Great team dynamics
Cons: Nothing as such. It's all good
View on GlassdoorCompany review data sourced from Glassdoor.
Compensation benchmarks
Glassdoor salary estimates for top hiring roles · 28 salary reports on Glassdoor
| Role | Location | Median | Range (LPA) | Reports |
|---|---|---|---|---|
| Engineering | India | — | — – — | — |
Salary benchmarks are estimates from Glassdoor and may differ from individual job listings.
Interview experiences
India-scoped Glassdoor interview reports · 7 total · avg difficulty 3.3/5 · 7 questions indexed
Senior Data Scientist· IndiaAverageno offer
Had 3 Rounds based on Resume and ML knowledge. Every project was asked and based on project, the metrix, algorithm was asked. And I could survice 2 rounds and after that I was eliminated.
Sample questions
- Metrics - Precision Recall, Linear Regression, Logistic Regression, Loss Functions
Data Scientist· IndiaAverageno offer
Online assessment followed by 2 rounds of technical interview. The online assesment was pretty easy and asked basics of python and ML. Both technical interviews were based on resume. They pick out one/two projects from the resume and ask questions based on that, more like an discussion.
Sample questions
- Why do we use multi-head self attention?
Senior Data Scientist· IndiaAverageno offer
First there was an HR round, where they checked the internet connection and the camera quality and there was an inpromptu technical round where the HR shared the screen and asked some basic MCQ. It was easy. Second round was technical round on an external website which was all descriptive answers. Third round was technical round where they asked a lot of basic questions and also regarding project.
Sample questions
- What is voting? What are the classification models that can be used?
Data Scientist· BengaluruAverageno offer
1st round was MCQ test. Simple 2nd round was technical Interview. He asked most of the questions about Work experience and project mentioned in CV. Then questions on Machine learning and statistics like kurtosis vs skewness, distributions, auto-correlation etc. 3rd round was with CTO. He asked to write two SQL query based on given table then a Machine learning based questions on regressor. All rounds were good and positive. Answered all question except last question on decision tree regression.
Sample questions
- 2nd round - Asked question on statistics, distributions and auto-correlation. 3rd round - Asked questions related to SQL query and one question on decision tree regressor.
Data Scientist· IndiaDifficultno offer
Lengthy and focused on project and CV a lot and asked machine learning .the interviewer was quite calm and was waiting for my answers and also quite curious in cross questioning me.
Sample questions
- Tell me about your project?
Top hiring roles: Engineering
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Inxite Out hiring FAQ
Last updated 23 October 2026
- Is Inxite Out hiring on Feedback AI?
- Inxite Out has 1 active open role on Feedback AI today. Roles are listed for Calcutta, India and other hubs where posted. Browse open engineering listings on this company profile or sign up free to see AI match scores for each role.
- How many open roles does Inxite Out have?
- Feedback AI tracks 1 active Inxite Out job listing right now. Counts refresh from live postings — inactive listings are removed from the public board.
- How does Feedback AI match candidates to Inxite Out jobs?
- Upload a resume or add skills after free signup. Feedback AI compares your profile to each job description and ranks roles by match score with skill gaps — the same ranking employers see when reviewing applicants.
- What is it like to interview at Inxite Out?
- This profile includes 7 Glassdoor-backed interview experiences when enrichment gates pass — process notes, difficulty, and sample questions where available.
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