Skillenai

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

As of 2026-10-29, pattern recognition appears in 101 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning pattern recognition.

Last updated · 90d ending 2026-10-29

Postings · last 90 days
101
Top role · 17.8% of skill postings
Data Scientist
Top hiring metro
Singapore

Which roles want pattern recognition?

Upload your resume and Skillenai will show which roles your pattern recognition experience fits, which skills you already cover, and what is missing.

See which roles your pattern recognition experience fits →No account needed.

Frequently asked questions about pattern recognition

+Is pattern recognition in demand in 2026?

Yes. pattern recognition appears in 101 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Data Scientist accounts for the most postings mentioning pattern recognition (17.8% of all postings mentioning pattern recognition).

+What jobs require pattern recognition?

According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning pattern recognition are Data Science Lead (13.0% of that role’s postings mention pattern recognition), AI Operations Engineer (2.6% of that role’s postings mention pattern recognition), Machine Learning Researcher (2.4% of that role’s postings mention pattern recognition).

+What skills are commonly paired with pattern recognition?

Across job postings indexed by Skillenai (90 days ending 2026-10-29), pattern recognition most often appears alongside Python, machine learning, SQL, anomaly detection, Data Mining.

+Where is pattern recognition most in demand?

As of 2026-10-29, the metro areas posting the most jobs requiring pattern recognition are Singapore, Hyderabad, New York City, Arlington, Gurugram, according to the Skillenai jobs index.

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

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

+Which skills come before and after pattern recognition?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring pattern recognition — last 90 days

Career paths around pattern recognition

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before pattern recognition

Before pattern recognitiondata analysis → pattern recognition: 2 observed employer moves with this skill pairJava Design Patterns → pattern recognition: 1 observed employer moves with this skill pairoptimization → pattern recognition: 1 observed employer moves with this skill pairData Mining → pattern recognition: 1 observed employer moves with this skill pairpredictive analytics → pattern recognition: 1 observed employer moves with this skill pairIntelligence reporting → pattern recognition: 1 observed employer moves with this skill pairpython → pattern recognition: 1 observed employer moves with this skill paircontrol systems → pattern recognition: 1 observed employer moves with this skill pairpatternrecognitiondata analysis: 2 movesdata analysis2 movesJava Design Patterns: 1 movesJava DesignPatterns1 movesoptimization: 1 movesoptimization1 movesData Mining: 1 movesData Mining1 movespredictive analytics: 1 movespredictiveanalytics1 movesIntelligence reporting: 1 movesIntelligencereporting1 movespython: 1 movespython1 movescontrol systems: 1 movescontrol systems1 moves

Skills after pattern recognition

After pattern recognitionpattern recognition → Power BI: 3 observed employer moves with this skill pairpattern recognition → sql: 3 observed employer moves with this skill pairpattern recognition → AWS Lex: 2 observed employer moves with this skill pairpattern recognition → R: 2 observed employer moves with this skill pairpattern recognition → React: 2 observed employer moves with this skill pairpattern recognition → docker: 2 observed employer moves with this skill pairpattern recognition → Wiki access: 1 observed employer moves with this skill pairpattern recognition → text extraction: 1 observed employer moves with this skill pairpatternrecognitionPower BI: 3 movesPower BI3 movessql: 3 movessql3 movesAWS Lex: 2 movesAWS Lex2 movesR: 2 movesR2 movesReact: 2 movesReact2 movesdocker: 2 movesdocker2 movesWiki access: 1 movesWiki access1 movestext extraction: 1 movestext extraction1 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: data analysis2
Before: Java Design Patterns1
Before: optimization1
Before: Data Mining1
Before: predictive analytics1
Before: Intelligence reporting1
Before: python1
Before: control systems1
After: Power BI3
After: sql3
After: AWS Lex2
After: R2
After: React2
After: docker2
After: Wiki access1
After: text extraction1

Roles most likely to require pattern recognition

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

RolePostings mentioning skill% of role postings mentioning skill
Data Science Lead313.0%
AI Operations Engineer12.6%
Machine Learning Researcher12.4%
Quantitative Researcher42.4%
AI Systems Engineer12.3%
AI Automation Engineer11.2%
UX Researcher21.0%
AI/ML Engineer30.8%
Applied Scientist20.8%
Data Analytics Manager10.7%

Roles with the most pattern recognition postings

RolePostings mentioning skillShare of skill postings
Data Scientist1817.8%
Software Engineer65.9%
Product Manager44.0%
Quantitative Researcher44.0%
AI/ML Engineer33.0%
Data Analyst33.0%
Data Science Lead33.0%
AI Engineer22.0%
Applied Scientist22.0%
Data Engineer22.0%

Top companies posting jobs requiring pattern recognition

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring pattern recognition
CompanyPostings · 90 days
Gravitonresearchcapital4
Workato4
Schonfeld3
GeVernova3
Johns Hopkins Applied Physics Laboratory3
Meta3
Veeva Systems3
Renesas2
CACI2
Gartner2

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for pattern recognition

NamePostingsShare
Singapore55.0%
Hyderabad44.0%
New York City44.0%
Arlington33.0%
Gurugram33.0%
Laurel33.0%
London33.0%
Sunnyvale33.0%
Bengaluru22.0%

Skills commonly paired with pattern recognition

Python (54)machine learning (47)SQL (27)anomaly detection (21)Data Mining (19)C++ (19)deep learning (18)PyTorch (18)R (17)Statistical analysis (17)

Explore related pages

How this was computed

Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29. 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 pattern recognition by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s pattern recognition postings by all pattern recognition 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). An adjusted trend is not shown because comparable posting coverage is insufficient.

source
Skillenai jobs index, deduplicated daily
entity_id
8d8bb42b65095170
data_as_of
2026-10-29
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index