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Senior Data Scientist — AbsolutData
T1
AbsolutData (an Infogain company)

Senior Data Scientist — AbsolutData

AbsolutData (Infogain) is hiring Senior Data Scientists. ₹20-40 LPA. Bengaluru. Eligibility: 4+ years data science delivery. Direct apply.
private-mnc
Data Scientist
senior
on-site

Quick answer: Senior Data Scientist at AbsolutData (Infogain), ₹20–40 LPA, Bengaluru. 4+ years delivery experience required. Direct online application. Private-sector AI core role for qualified individuals.

About this Senior Data Scientist role at AbsolutData (an Infogain company)

AbsolutData, part of the Infogain group, is looking for experienced Senior Data Scientists to join their Bengaluru team. This is a permanent, on-site role where your data science expertise directly impacts AI-driven solutions for enterprise clients. If you're a senior data scientist with 4+ years of delivery experience and want to work on meaningful machine learning projects at scale, this could be your next move.

What you'll do

  • Design, build, and deploy machine learning models for enterprise data science challenges
  • Develop statistical modeling solutions and translate business problems into data science workflows
  • Work with Python and modern data analysis frameworks to process and analyze large datasets
  • Lead model deployment and optimization to ensure production-ready performance
  • Collaborate with cross-functional teams on data-driven decision-making initiatives

Who should apply

You should have 4+ years of hands-on data science delivery experience. This is a senior-level role, so you're expected to have a track record of successfully shipping machine learning projects. You're comfortable with the full data science lifecycle—from problem definition through deployment—and can work independently while mentoring others.

Salary & offer in context

AbsolutData offers ₹20–40 LPA (₹1,66,667–₹3,33,333 per month) for this senior role. For a Data Scientist salary in India at the senior level, this sits solidly in the mid-to-upper range, especially for Bengaluru. You're looking at compensation competitive with established private tech firms.

Path to apply

This is a direct apply role through AbsolutData's online careers portal—no exam, no multi-stage screening. You can apply immediately at infogain.com/careers. The application deadline is June 3, 2026, so submit your resume and profile soon to secure your spot.

At a glance

Sector
Private-mnc
Apply mode
Online-portal
Role
Data Scientist
Experience
Senior
Salary
₹1.7L–₹3.3L/mo
Location
Bengaluru
Arrangement
On-site
Deadline
3 Jun 2026
Last verified
31 May 2026

Free course ladder to qualify for Data Scientist roles

AIshala-vetted free courses sequenced for this role. Total prep time: 4 weeks.

Step 1
Free AI foundations
Covers machine learning fundamentals and model lifecycle—core to designing and deploying ML solutions at AbsolutData.
Step 2
Practice + portfolio
Teaches practical machine learning workflows and algorithm selection needed for real-world data science delivery.
Step 3
Apply with confidence
Master Python's Pandas library for data analysis and manipulation—essential for exploratory work and feature engineering.

Frequently asked questions

How do I apply for this role?

Click Apply on AbsolutData (an Infogain company) at the top of this page to go to the employer's official application form. AIshala does not collect applications — we link you directly to the source.

Is this role actively hiring?

Yes — we verify every listing and remove closed positions. The deadline (when set) is shown in the badge at the top. If you spot a stale listing, flag it via Contact and we'll review within 24 hours.

What free courses prepare me for this role?

Browse the course ladder section above — these are AIshala-vetted free courses sequenced for this specific role's skills. Estimated total prep time is shown next to each step.

Will AIshala help me with my application?

We don't directly mentor applicants, but our City Chapters have ambassadors and peer groups who do informal application reviews. Find your nearest chapter on the Chapters page.

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