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COMPANIES USING

Companies Using scikit-learn

4,609 companies are actively hiring scikit-learn talent across 49 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 Companies49 shown

Top companies hiring scikit-learn talent in 2026
CompanyIndustryHQ LocationSizeJobsLinks
Gopuff
gopuff.com
 Software Development Philadelphia, United States 5,001+ 370
BairesDev
bairesdev.com
 IT Services and IT Consulting San Francisco, United States 1,001–5,000 981
ACV Auctions
acvauctions.com
 Software Development Buffalo, United States 1,001–5,000 278
Goosehead Insurance
gooseheadinsurance.com
 Insurance Westlake, United States 1,001–5,000 332
Innovative Refrigeration Systems, Inc.
r717.net
 Industrial Machinery Manufacturing United States 501–1,000 214
YO IT Consulting
yoitconsulting.com
 Software Development Abu Dhabi, United Arab Emirates 51–200 264
BioSpace
biospace.com
 Internet News West Des Moines, United States 11–50 382
Advance Auto Parts
advanceautoparts.com
 Retail Raleigh, United States 10,001+ 3,491
CVS Health
cvshealth.com
 Hospitals and Health Care Woonsocket, United States 10,001+ 1,931
Lidl in Germany
lidl.com
 Retail Bad Wimpfen, Germany 10,001+ 1,517
Cinemark
cinemark.com
 Entertainment Providers Plano, United States 10,001+ 830
Sam's Club
samsclub.com
 Retail Bentonville, United States 10,001+ 1,528
Deloitte
deloitte.com
 Business Consulting and Services Sydney, Australia 10,001+ 906
Loblaw Companies Limited
loblaw.ca
 Retail Brampton, Canada 10,001+ 636
IBM
ibm.com
 IT Services and IT Consulting Armonk, United States 10,001+ 610
Monoprix
monoprix.fr
 Retail Clichy, France 10,001+ 675
T-Mobile
t-mobile.com
 Telecommunications Bellevue, United States 10,001+ 605
Woolworths Group
woolworthsgroup.com.au
 Retail Sydney, Australia 10,001+ 389
EY
ey.com
 Professional Services Greater London, United Kingdom 10,001+ 474
Walmart
bit.ly
 Retail Bentonville, United States 10,001+ 849
Citizens
citizensbank.com
 Banking Providence, United States 10,001+ 373
EY-Parthenon
ey.com
 Business Consulting and Services Greater London, United Kingdom 10,001+ 492
BMO
bmo.com
 Financial Services Toronto, Canada 10,001+ 377
Intuit
intuit.com
 Software Development Mountain View, United States 10,001+ 426
KPMG US
kpmg.com
 Financial Services New York, United States 10,001+ 428
IQVIA
iqvia.com
 Hospitals and Health Care Durham, United States 10,001+ 533
DHL Supply Chain
logistics.dhl
 Transportation, Logistics, Supply Chain and Storage Bonn, Germany 10,001+ 349
PwC Deutschland
pwc.de
 Business Consulting and Services Frankfurt, Germany 10,001+ 274
Pearson
pearson.com
 Education Greater London, United Kingdom 10,001+ 558
Lam Research
lamresearch.com
 Semiconductor Manufacturing Fremont, United States 10,001+ 593
Comcast
comca.st
 Telecommunications Philadelphia, United States 10,001+ 288
EchoStar Corporation
echostar.com
 Telecommunications Englewood, United States 10,001+ 290
PKO Bank Polski
pkobp.pl
 Banking Warsaw, Poland 10,001+ 314
Assaí Atacadista
assai.com.br
 Wholesale São Paulo, Brazil 10,001+ 269
BNP Paribas
bnpp.lk
 Banking Paris, France 10,001+ 540
WSP
wsp.com
 Professional Services Montreal, Canada 10,001+ 257
McKesson
mckesson.com
 Hospitals and Health Care Irving, United States 10,001+ 247
Accenture in India
accenture.com
 IT Services and IT Consulting Bengaluru, India 10,001+ 599
Humana
humana.com
 Insurance Louisville, United States 10,001+ 330
Tesla
tesla.com
 Motor Vehicle Manufacturing Austin, United States 10,001+ 233
Ericsson
ericsson.com
 Telecommunications Stockholm, Sweden 10,001+ 228
Global Payments Inc.
globalpayments.com
 Financial Services Atlanta, United States 10,001+ 279
JPMorganChase
jpmorganchase.com
 Financial Services New York, United States 10,001+ 559
Kaufland
kaufland.de
 Retail Neckarsulm (Kernstadt), Germany 10,001+ 863
State Street
statestreet.com
 Financial Services Boston, United States 10,001+ 375
Siemens
siemens.com
 Automation Machinery Manufacturing Munich, Germany 10,001+ 320
WSP in India
wsp.com
 Professional Services Noida, India 10,001+ 415
Boot Barn
bootbarn.com
 Retail Irvine, United States 10,001+ 836
Ecolab
ecolab.com
 Chemical Manufacturing Saint Paul, United States 10,001+ 212

4,609 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
1,889
India
451
Germany
269
United Kingdom
255
Brazil
254
France
206
China
168
Spain
129

By Industry

IT Services and IT Consulting
1,262
Software Development
768
Financial Services
361
Technology, Information and Internet
279
Business Consulting and Services
244
Information Technology & Services
189
Insurance
106
Banking
97

Top Roles

Data Engineer1,370Software Engineer1,332Data Scientist1,327Project Manager1,116Product Manager1,102Business Analyst821Ai Engineer766Data Analyst722Devops Engineer710Full Stack Developer543Account Manager540Machine Learning Engineer530

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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How this page is built

echoloc compiles technology-adoption signals from public hiring and company data — career pages, public listings, and company web presence — then clusters and de-duplicates them into the summary above. Figures are estimates that refresh over time. Read our full methodology →

This is not an official customer or user list. It is a technology-adoption signal inferred from public data, intended for B2B research.

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.