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Companies Using scikit-learn

3,191 companies are actively hiring scikit-learn talent across 50 countries.

scikit-learn is Python's dominant machine learning library, used to build predictive models, classification systems, and data pipelines across industries. When a company posts roles requiring scikit-learn, they're signaling active investment in ML-driven products or internal analytics — not just experimentation. These companies are likely shopping for MLOps platforms, data infrastructure tooling, and cloud compute contracts to operationalize what they're building.

Buying Signal

A company hiring multiple scikit-learn practitioners is building or scaling a machine learning function, which typically precedes purchases of model deployment platforms, feature stores, or data labeling services. With over 1,800 Data Scientist roles tied to this technology, these aren't entry-level hires — they're teams expanding production ML capacity. AEs selling MLOps tools, cloud AI services, or data pipeline solutions should be prospecting any company with three or more open scikit-learn roles.

Top Companies46 shown

Top companies hiring scikit-learn talent in 2026
CompanyIndustryHQ LocationSizeJobsLinks
Sii Poland
sii.pl
 IT Services and IT Consulting Warsaw, Poland 5,001+ 1,922
Lensa
lensa.com
 Internet Publishing West Chester, United States 51–200 3,768
YO IT Consulting
yoitconsulting.com
 Software Development Abu Dhabi, United Arab Emirates 51–200 1,208
Inside Higher Ed
insidehighered.com
 Online Audio and Video Media Washington, United States 51–200 2,028
hackajob
hackajob.com
 Software Development Greater London, United Kingdom 51–200 1,389
Bright Vision Technologies
bvteck.com
 IT System Custom Software Development Bridgewater Township, United States 51–200 992
VetJobs
vetjobs.org
 Armed Forces Lake Saint Louis, United States 51–200 1,886
Mercor
mercor.com
 Software Development San Francisco, United States 51–200 2,680
TipTopJob
tiptopjob.com
 Advertising Services Maidenhead, United Kingdom 11–50 1,985
myGwork - LGBTQ+ Business Community
mygwork.com
 Technology, Information and Internet Greater London, United Kingdom 11–50 1,933
BioSpace
biospace.com
 Internet News West Des Moines, United States 11–50 1,858
L'Usine Nouvelle
usinenouvelle.com
 Newspaper Publishing Gentilly, France 11–50 1,818
NPAworldwide
npaworldwide.com
 Professional Services Grand Rapids, United States 2–10 1,774
Walmart
walmart.com
 Retail Bentonville, United States 10,001+ 2,311
Tata Consultancy Services
tcs.com
 IT Services and IT Consulting Mumbai, India 10,001+ 2,070
CVS Health
cvshealth.com
 Hospitals and Health Care Woonsocket, United States 10,001+ 2,175
Google
goo.gle
 Software Development Mountain View, United States 10,001+ 1,648
Wipro
wipro.com
 IT Services and IT Consulting Bengaluru, India 10,001+ 1,956
PwC Deutschland
pwc.de
 Business Consulting and Services Frankfurt, Germany 10,001+ 1,936
Lidl in Germany
lidl.com
 Retail Bad Wimpfen, Germany 10,001+ 1,908
Kaufland
kaufland.de
 Retail Neckarsulm (Kernstadt), Germany 10,001+ 1,946
PNC
pnc.com
 Financial Services Pittsburgh, United States 10,001+ 2,213
UST
ust.com
 IT Services and IT Consulting Aliso Viejo, United States 10,001+ 1,880
Sanofi
sanofi.com
 Pharmaceutical Manufacturing Paris, France 10,001+ 1,892
JLL
co.jll
 Real Estate Chicago, United States 10,001+ 1,861
Optum
optum.com
 Hospitals and Health Care Eden Prairie, United States 10,001+ 2,081
Deloitte
deloitte.com
 Business Consulting and Services Sydney, Australia 10,001+ 1,789
HCLTech
hcltech.com
 IT Services and IT Consulting Noida, India 10,001+ 1,863
TEKsystems
teksystems.com
 IT Services and IT Consulting United States 10,001+ 1,866
Woolworths Group
woolworthsgroup.com.au
 Retail Sydney, Australia 10,001+ 1,820
Comcast
comca.st
 Telecommunications Philadelphia, United States 10,001+ 1,797
Caterpillar Inc.
caterpillar.com
 Machinery Manufacturing Irving, United States 10,001+ 1,609
Rheinmetall
rheinmetall.com
 Defense and Space Manufacturing Dusseldorf, Germany 10,001+ 1,865
Lam Research
lamresearch.com
 Semiconductor Manufacturing Fremont, United States 10,001+ 1,472
Leidos
leidos.com
 Defense and Space Manufacturing Reston, United States 10,001+ 1,773
Nordstrom
nordstrom.com
 Retail Seattle, United States 10,001+ 1,573
Microsoft
microsoft.com
 Software Development Redmond, United States 10,001+ 1,726
Thermo Fisher Scientific
thermofisher.com
 Biotechnology Research Waltham, United States 10,001+ 2,172
Honeywell
honeywell.com
 Appliances, Electrical, and Electronics Manufacturing Charlotte, United States 10,001+ 1,789
Capgemini
capgemini.com
 IT Services and IT Consulting Paris, France 10,001+ 1,629
HSBC
hsbc.com
 Financial Services Greater London, United Kingdom 10,001+ 1,775
Infosys
infosys.com
 IT Services and IT Consulting Electronic City, India 10,001+ 1,755
EY
ey.com
 Professional Services Greater London, United Kingdom 10,001+ 1,635
GXO Logistics, Inc.
gxo.com
 Transportation, Logistics, Supply Chain and Storage Greenwich, United States 10,001+ 1,582
Capital One
capitalone.com
 Financial Services McLean, United States 10,001+ 1,764
Oracle
oracle.com
 IT Services and IT Consulting Austin, United States 10,001+ 1,732

3,191 companies use scikit-learn. Want the full list?

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Market Signal

3,592 companies hiring across 93,000+ roles points to scikit-learn being infrastructure-level technology, not a niche skill. That volume means ML adoption is happening at scale across sectors, and the window to sell into these teams is now — before their stack decisions solidify.

Stack Intelligence

Companies pairing scikit-learn with pandas, numpy, and PyTorch are running mature data science workflows — not pilots. The presence of PyTorch alongside scikit-learn often signals a transition toward deep learning, suggesting these teams will soon need GPU compute, model monitoring, and experiment tracking tools. This combination narrows your target list to companies with real ML budgets, not just aspirations.

Hiring Landscape

scikit-learn in the Market

Where and how companies hire scikit-learn talent

By Country

United States
1,383
India
297
Germany
209
United Kingdom
178
Brazil
176
France
150
China
100
Spain
86

By Industry

IT Services and IT Consulting
869
Software Development
552
Financial Services
251
Technology, Information and Internet
183
Business Consulting and Services
162
Information Technology & Services
136
Insurance
75
Hospitals and Health Care
63

Top Roles

Data Scientist1,807Data Engineer1,600Software Engineer1,432Project Manager1,213Product Manager1,135Data Analyst986Business Analyst971Devops Engineer908Ai Engineer806Machine Learning Engineer791Full Stack Developer702Account Manager646

Related Technologies

PythonPandasNumPyPyTorch

What is scikit-learn?

scikit-learn is the most widely used Python library for classical machine learning — regression, classification, clustering, and model evaluation.

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Browse scikit-learn by Region & Industry

scikit-learn by Country (7)

United States (1,383)India (297)Germany (209)United Kingdom (178)Brazil (176)France (150)China (100)

scikit-learn by Industry (6)

IT Services and IT Consulting (869)Software Development (552)Financial Services (251)Technology, Information and Internet (183)Business Consulting and Services (162)Information Technology & Services (136)

Frequently Asked Questions

What is scikit-learn?

scikit-learn is an open-source Python library used to build machine learning models for tasks like prediction, classification, and anomaly detection. Businesses use it to turn raw data into automated decision systems. Hiring for it signals a company is actively building ML capabilities, not just exploring them.

Why should sales teams track scikit-learn hiring?

scikit-learn hiring predicts downstream purchases of data infrastructure, cloud services, and MLOps tooling. A company posting five scikit-learn roles this quarter is a warmer lead than one that downloaded a whitepaper. Sales teams can use this signal to prioritize outreach before budget is already committed.

Who should be selling to companies that use scikit-learn?

Vendors best positioned to sell to scikit-learn-hiring companies include MLOps and model deployment platforms, cloud data warehouse and compute providers, data labeling and annotation services, and BI or analytics tooling vendors.