SkillTrendLab
Skill · Frameworks · Framework, LLM and domain signals

scikit-learn

The Python library for classical machine learning.

3.8%
of core AI postings mention it
135
postings
110
companies

History starts on September 11, 2026. Movement needs a comparable later edition at least 30 days on.

Where it is mentioned most

Each row divides by that role's postings in this edition, highest share first.

Reading this edition

Postings in 9 role families mention scikit-learn in this edition.

In 1 of the 8 role families with a page of their own, at least one posting in five mentions scikit-learn: Data Scientist 25.8%.

scikit-learn is more concentrated in Data Scientist postings (25.8%) than across all core AI postings (3.8%): at least twice the overall share.

scikit-learn is in Frameworks: a framework, LLM or domain signal. Read it together with the foundation and production skills that appear with it below.

How the readings are made: "more concentrated than overall" means that in a role family with a page of its own, at least 10 postings mention the skill and its share is at least 2 times its share of all core AI postings; "common" means at least 20% of a role's postings mention it. They describe the postings open in this edition, not a trend.

  1. 39 of 151 postings · at least twice overall
  2. MLOps / Platform Engineer5.3%
    2 of 38 postings · Sample below the page threshold; not read
  3. AI Researcher5.0%
    3 of 60 postings · Sample below the page threshold; not read
  4. 5 of 113 postings
  5. 66 of 1,741 postings
  6. 10 of 321 postings
  7. 4 of 175 postings
  8. 1 of 225 postings
  9. 1 of 305 postings

Skills that appear with it

Each share divides by the postings that mention scikit-learn: how many of them also mention each skill, grouped into three lenses.

Foundations and problem-solving

Categories: Languages, Machine learning, Data engineering, Databases, Methods and process

  1. Python96.3%
    Languages · 130 postings
  2. Machine learning · 119 postings
  3. Machine learning · 83 postings
  4. Data engineering · 52 postings
  5. SQL37.0%
    Languages · 50 postings
  6. NLP35.6%
    Machine learning · 48 postings

Production and delivery

Categories: DevOps, Cloud, Tools

  1. Git39.3%
    Tools · 53 postings

Framework, LLM and domain signals

Categories: Frameworks, LLM applications, Domain knowledge, Office software

  1. PyTorch81.5%
    Frameworks · 110 postings
  2. Frameworks · 102 postings
  3. LLM46.7%
    LLM applications · 63 postings
  4. pandas40.0%
    Frameworks · 54 postings
  5. NumPy37.0%
    Frameworks · 50 postings

Industries and places

Share of this skill's postings.

Industry
  1. Software & Internet
    45
    33.3%
  2. Electronics & Hardware
    20
    14.8%
  3. Finance & Insurance
    15
    11.1%
  4. Healthcare & Biotech
    11
    8.2%
  5. Professional Services
    10
    7.4%
  6. Semiconductor
    9
    6.7%
  7. Manufacturing
    8
    5.9%
  8. Wholesale, Retail & E-commerce
    6
    4.4%
  9. Telecom, Media & Digital Content
    4
    3.0%
  10. Consulting & Marketing Services
    4
    3.0%
  11. Logistics & Transport
    1
    0.7%
  12. Construction & Real Estate
    1
    0.7%
Place
  1. Taipei
    71
    52.6%
  2. New Taipei
    17
    12.6%
  3. Taichung
    15
    11.1%
  4. Hsinchu County
    9
    6.7%
  5. Hsinchu City
    8
    5.9%
  6. Kaohsiung
    7
    5.2%
  7. Taoyuan
    4
    3.0%
  8. Tainan
    2
    1.5%
  9. Pingtung
    1
    0.7%

Where this number is read from

Of the 135 postings, how many were found through the employer's own skill tags, the title, and the job description. A posting can carry more than one kind of evidence, so the three add up to more than the posting count.

  1. Employer's skill tags
    52
  2. Job title
    0
  3. Job description
    106
The data on this page
Data as of
September 11, 2026
Core AI postings this edition
3,523
Method version
2026.09.1

This page is not indexed yet: change needs a second edition.