classification jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-28, classification appears in 838 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning classification, with demand down 45% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
838
Demand vs prior month
down 45% vs the prior 4 weeks
Top role · 31.0% of skill postings
Top hiring metro
London

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Frequently asked questions about classification

+Is classification in demand in 2026?

Yes. classification appears in 838 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 45% vs the prior 4 weeks. Data Scientist accounts for the most postings mentioning classification (31.0% of all postings mentioning classification).

+What jobs require classification?

According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning classification are Product Data Scientist (23.8% of that role’s postings mention classification), Data Science Analyst (8.6% of that role’s postings mention classification), Principal Data Scientist (7.7% of that role’s postings mention classification).

+What skills are commonly paired with classification?

Across job postings indexed by Skillenai (90 days ending 2026-09-28), classification most often appears alongside Python, machine learning, SQL, regression, clustering.

+Where is classification most in demand?

As of 2026-09-28, the metro areas posting the most jobs requiring classification are London, Bengaluru, San Francisco, New York City, Boston, according to the Skillenai jobs index.

+How can I keep up with new classification content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning classification alongside the jobs index. You can subscribe to a daily email digest of new classification content from your Skillenai account.

Weekly job postings requiring classification — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Roles most likely to require classification

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Product Data Scientist1523.8%
Data Science Analyst38.6%
Principal Data Scientist37.7%
Senior Data Scientist27.7%
Prompt Engineer47.3%
Applied Data Scientist37.0%
Computer Vision Engineer55.6%
Forward Deployed AI Engineer55.2%
AI Solutions Specialist15.0%
Delivery Manager15.0%

Roles with the most classification postings

RolePostings mentioning skillShare of skill postings
Data Scientist26031.0%
Machine Learning Engineer11413.6%
Software Engineer526.2%
ML Engineer212.5%
AI Engineer192.3%
Data Analyst182.1%
Product Data Scientist151.8%
Technical Program Manager141.7%
Product Data Science Manager111.3%
Product Manager111.3%

Top metros hiring for classification

NamePostingsShare
London313.7%
Bengaluru242.9%
San Francisco232.7%
New York City222.6%
Boston141.7%
Broomfield131.6%
Berlin121.4%
Waltham111.3%
Sunnyvale81.0%

Skills commonly paired with classification

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning classification by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s classification postings by all classification postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills).

source
Skillenai jobs index, deduplicated daily
entity_id
5bd6e254d57c18ea
data_as_of
2026-09-28
window_days
90
Hiring engineers who use classification?

The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.

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Compiled by Jared Rand · Data sourced from the Skillenai labor market index