Ashney Market WatchIndiaData & ML Engineer Issue of 2 November 2026

India's data and ML engineering postings rise 8% in a month, led by PwC

There are 2,922 open roles across 723 companies, but the market wants experience: most jobs ask for 5+ years, and only 2% are remote.

By the Ashney Intelligence EngineRead at the source, hourlyA new issue every week
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Experience asked 5 yrs

is what the typical role asks for. 17% ask for 10 years or more.

77% of open roles state years
New roles, 30 days +8%

1,199 new roles in the last 30 days, against 1,110 the 30 days before, at the same companies.

Companies read for 60 days or more
Open roles 2,922

at 723 companies hiring in India.

Issue of 2 November 2026

This week's read

Data and ML engineering hiring in India picked up over the past 30 days. New postings rose from 1,110 to 1,199, an 8% increase, and the week of 26 October brought the most new roles of the last two months at 385, matching the week's own peak. Roles stay open for a median of 20 days before they are filled or pulled.

PwC is the single biggest employer on the list, with 195 open roles, and it is also growing fastest among the big names: its new postings jumped 38% in the last 30 days, from 154 to 213. Accenture is right behind it with a 32% rise in new postings. On the other side, Genpact's new postings fell 16% and Mastercard's fell 8%, though both still have roles open. Infosys (149), LTIMindtree (123), Amgen (103) and Amazon (54) round out the biggest employers, but together the top 8 companies hold just 26% of all open roles, so hiring is spread across many smaller employers too.

This is not an entry-level market. The median posting asks for at least 5 years of experience, and 17% of roles want 10 years or more. Most postings, 77%, state a years-of-experience requirement, so you can usually tell before applying whether you qualify. By title, 45% of roles are mid-level, 26% senior, 15% principal, and only 5% junior.

On skills, Python is named in 66% of postings and AI and machine learning skills in 55%, with SQL close behind at 51%. Cloud platforms matter too: AWS appears in 35% of roles, Azure in 31%, and Databricks in 27%. Working styles like Agile show up in 18% of postings. Remote work is rare here: only 2% of open roles are remote, so most of this hiring expects you in an office.

What this means for you

Three things you can act on this week

  • Expect to show years of experience

    Most postings (77%) state a years requirement, and the median ask is 5+ years. If you have under 5 years, look closely before applying since many roles skip juniors entirely.

  • PwC and Accenture are hiring fastest

    PwC's new postings grew 38% and Accenture's grew 32% in the last 30 days. Both are worth checking first if you want the most active employers right now.

  • Don't expect remote work

    Only 2% of open roles are remote. If location flexibility matters to you, plan for an office-based role rather than a remote search in this market.

Momentum

New Data / ML roles each week

Last 30 days: 1,199 new roles, against 1,110 the 30 days before (+8%). Each week counts the same companies, and a role counts as new only in the week it was posted, so a careers site we start reading never shows up as growth.

02004006007 Sep14 Sep21 Sep28 Sep5 Oct12 Oct19 Oct26 Oct385020040060014 Sep28 Sep12 Oct26 Oct385
See the numbers
Week startingNew roles
7 Sep300
14 Sep271
21 Sep286
28 Sep242
5 Oct346
12 Oct340
19 Oct212
26 Oct385

Who is hiring

The companies with the most open Data / ML roles

723 companies are hiring. The top eight hold 26% of the open roles.

CompanyOpen rolesChange in new roles
PWC 195 +38%
Infosys 149
LTIMindtree 123
Amgen 103
NTT DATA Services 55
Amazon 54
UST 46
Birlasoft 40

Change compares new roles in the last 30 days with the 30 days before, shown where a company posted 25 or more in the earlier 30 days. Staffing agencies are left out. A company name links to its Ashney company page where there is one.

What they ask for

The technology Data / ML roles ask for most

Ask Rate is the share of roles that name a skill, from 2,825 postings read in full. Ways of working (methods such as Agile, tools such as Jira) are listed apart; office tools and soft skills are left out.

Python66%
AI and machine learning55%
SQL51%
AWS35%
Azure31%
Databricks27%

Ways of working

Agile18%
Root cause analysis5%
Scrum4%
Jira3%
SAFe1%
Confluence1%

Industries named most: Healthcare 6%, Financial services 5%, Pharmaceuticals 5%. Certifications named: Databricks certification 2%, DP-203 1%, SnowPro certification 1%. 2% of open roles say they are remote.

Cite this report

Ashney Market Watch, "Data & ML Engineer hiring in India, 2 November 2026", ashney.ai/market/dataml/india
Keep reading
How we count

Ashney reads companies' own careers sites directly, hourly, not job boards. A role posted for many cities counts once, and staffing agencies are left out. A role counts as new in the week it was posted, and every change is measured at the same companies in both periods, so a careers site we start reading never shows up as growth. The written read is by the Ashney Intelligence Engine from this issue's numbers only, and every number and employer in it is checked against them before it is published. This report is written weekly; issue of 2 November 2026.

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