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COMPANIES USING

Companies Using scikit-learn

6,871 companies are actively hiring scikit-learn talent across 110 countries.

scikit-learn is the standard Python library for classical machine learning: classification, regression, clustering and feature engineering on tabular data, used for churn models, credit scoring, demand forecasting and fraud detection. A company hiring for it is running production or near-production predictive models on structured business data, which means it needs data warehousing, feature pipelines, experiment tracking, model deployment and monitoring around those models.

Buying Signal

scikit-learn hiring signals a team that has data in usable shape and is now operationalizing models, so the gaps are usually MLOps, model serving, data quality and compute rather than core data infrastructure. Many of these teams are also deciding whether to move from notebook-built models to managed platforms or deep learning frameworks. An MLOps vendor selling model registry and monitoring, for example, should prospect companies hiring Data Scientists and Data Engineers with scikit-learn on the requirements list.

Top Companies48 shown

Top companies hiring scikit-learn talent in 2026
CompanyIndustryHQ LocationSizeJobsLinks
Franklin Templeton
franklinresources.com
 Financial Services San Mateo, United States 5,001+ 218
Stripe
stripe.com
 Technology, Information and Internet South San Francisco, United States 5,001+ 316
Ryan
ryan.com
 Financial Services Dallas, United States 5,001+ 240
Public Storage
publicstorage.com
 Real Estate Frisco, United States 5,001+ 227
adesso SE
adesso.de
 IT Services and IT Consulting Dortmund, Germany 5,001+ 960
SoftwareOne
softwareone.com
 IT Services and IT Consulting Stans, Switzerland 5,001+ 246
RELX
relx.com
 Technology, Information and Media Greater London, United Kingdom 1,001–5,000 445
Swift
swift.com.br
 Retail São Paulo, Brazil 1,001–5,000 160
Qcells North America
qcells.com
 Renewable Energy Semiconductor Manufacturing Irvine, United States 501–1,000 234
Applaudo
applaudo.com
 IT Services and IT Consulting El Salvador 501–1,000 172
Innovative Refrigeration Systems, Inc.
r717.net
 Industrial Machinery Manufacturing United States 501–1,000 157
YO AI Labs
yoailabs.com
 Artificial Intelligence Shi'bat Al Wutah, United Arab Emirates 201–500 281
Bright Vision Technologies
bvteck.com
 IT System Custom Software Development Bridgewater Township, United States 51–200 203
BioSpace
biospace.com
 Internet News West Des Moines, United States 11–50 430
Dex
meetdex.ai
 Technology, Information and Internet Greater London, United Kingdom 11–50 220
Burjline Builders
burjlinebuilders.com
 Construction United Arab Emirates 2–10 323
CVS Health
cvshealth.com
 Hospitals and Health Care Woonsocket, United States 10,001+ 1,856
Monoprix
monoprix.fr
 Retail Clichy, France 10,001+ 961
Sainsbury's
sainsburys.jobs
 Retail Greater London, United Kingdom 10,001+ 483
AT&T
att.com
 Telecommunications Dallas, United States 10,001+ 326
Accenture in India
accenture.com
 IT Services and IT Consulting Bengaluru, India 10,001+ 374
State of Oklahoma
ok.gov
 Government Administration Oklahoma City, United States 10,001+ 251
FedEx Office
fedex.com
 Printing Services Plano, United States 10,001+ 507
Floor & Decor
flooranddecor.com
 Retail Atlanta, United States 10,001+ 1,154
Humana
humana.com
 Insurance Louisville, United States 10,001+ 478
IBM
ibm.com
 IT Services and IT Consulting Armonk, United States 10,001+ 440
Best Buy
bestbuy.com
 Retail Richfield, United States 10,001+ 359
Techcombank (TCB)
techcombankjobs.com
 Banking Hà Nội, Vietnam 10,001+ 187
Meijer
meijer.com
 Retail Grand Rapids, United States 10,001+ 389
TikTok
tiktok.com
 Entertainment Providers Los Angeles, United States 10,001+ 436
NetApp
netapp.com
 Software Development San Jose, United States 10,001+ 260
Decathlon
decathlon-united.media
 Sporting Goods Manufacturing Villeneuve-d'Ascq, France 10,001+ 248
Sanofi
sanofi.com
 Pharmaceutical Manufacturing Paris, France 10,001+ 288
CIBC
cibc.com
 Banking Toronto, Canada 10,001+ 347
Santander Brasil
santander.com.br
 Banking Brazil 10,001+ 314
Thermo Fisher Scientific
thermofisher.com
 Biotechnology Research Waltham, United States 10,001+ 356
Caterpillar Inc.
caterpillar.com
 Machinery Manufacturing Irving, United States 10,001+ 258
Walmart
walmart.com
 Retail Bentonville, United States 10,001+ 781
Eli Lilly and Company
lilly.com
 Pharmaceutical Manufacturing Indianapolis, United States 10,001+ 425
State Street
statestreet.com
 Financial Services Boston, United States 10,001+ 404
Citizens
citizensbank.com
 Banking Providence, United States 10,001+ 377
Loblaw Companies Limited
loblaw.ca
 Retail Brampton, Canada 10,001+ 459
Saab
saab.com
 Defense and Space Manufacturing Stockholm, Sweden 10,001+ 265
中国集团
cgcpa.org.cn
 216
Capital One
capitalone.com
 Financial Services McLean, United States 10,001+ 482
ANDRITZ
andritz.com
 Machinery Manufacturing Graz, Austria 10,001+ 203
Cargill
cargill.com
 Food and Beverage Manufacturing Wayzata, United States 10,001+ 432
WSP in India
wsp.com
 Professional Services Noida, India 10,001+ 483

6,871 companies use scikit-learn. Want the full list?

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Market Signal

6,871 companies across 110 countries hire for scikit-learn, but IT Services and IT Consulting (1,940) and Software Development (1,089) lead, with Financial Services (498) the largest end-user vertical. The United States (2,728) holds roughly 40% of the market, while India (749) points to sizable delivery and consulting teams building models for clients.

Stack Intelligence

scikit-learn sits on top of numpy and is fed by pandas DataFrames, so python, pandas and numpy appearing together marks a working Python data science stack rather than an exploratory one. When pytorch also shows up, the company is extending beyond tabular models into deep learning, which raises its need for GPU compute and more mature ML platforms. Target pytorch-plus-scikit-learn accounts for higher-tier infrastructure deals.

Hiring Landscape

scikit-learn in the Market

Where and how companies hire scikit-learn talent

By Country

United States
2,728
India
749
United Kingdom
369
Germany
359
Brazil
349
France
301
China
227
Spain
198

By Industry

IT Services and IT Consulting
1,940
Software Development
1,089
Financial Services
498
Technology, Information and Internet
440
Business Consulting and Services
363
Information Technology & Services
288
Banking
143
Insurance
139

Top Roles

Software Engineer1,776Data Engineer1,766Data Scientist1,507Project Manager1,416Product Manager1,331Business Analyst1,047Ai Engineer996Devops Engineer917Data Analyst846Account Manager668Full Stack Developer650Business Development Manager586

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 that businesses use to build predictive models on structured data, such as risk scores, forecasts and customer segments. A company hiring for it is actively building or maintaining machine learning in production workflows.

Why should sales teams track scikit-learn hiring?

scikit-learn hiring identifies companies with real ML workloads, and the role mix, led by Software Engineers (1,776), Data Engineers (1,766) and Data Scientists (1,507), shows who owns those workloads. For example, a data quality vendor can target financial services firms hiring Data Engineers with scikit-learn and pitch reliable training data for credit models.

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

MLOps and model monitoring platforms, cloud data warehouses and feature stores, GPU and cloud compute providers, and data science consultancies are the strongest fits for companies using scikit-learn.