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COMPANIES USING

Companies Using NumPy

5,664 companies are actively hiring NumPy talent across 109 countries.

NumPy is the numerical array library underneath most Python data work, powering everything from feature engineering and model training to risk calculations and signal processing. A company hiring for it is running Python-based analytics or machine learning in production, which usually means it also needs data warehousing, orchestration, compute infrastructure and MLOps tooling to move numerical code from notebooks into reliable pipelines.

Buying Signal

NumPy hiring indicates a team writing custom numerical code rather than relying only on BI tools, so these companies tend to buy scalable compute, data platforms and model deployment tooling. With Data Engineer (1,383) and Data Scientist (1,110) among the top roles, the spend often sits with data platform leads. A GPU cloud or managed Spark/Ray vendor should prospect these accounts, pitching faster array workloads without rewriting existing Python code.

Top Companies49 shown

Top companies hiring NumPy 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
General Atomics Aeronautical Systems
ga-asi.com
 Aviation and Aerospace Component Manufacturing Poway, United States 5,001+ 250
SoftwareOne
softwareone.com
 IT Services and IT Consulting Stans, Switzerland 5,001+ 246
Grant Thornton (US)
grantthornton.com
 Professional Services Chicago, United States 5,001+ 436
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
Uplers
uplers.com
 Technology, Information and Internet Hyderabad, United States 1,001–5,000 143
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
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
L'Usine Nouvelle
usinenouvelle.com
 Newspaper Publishing Gentilly, France 11–50 308
Burjline Builders
burjlinebuilders.com
 Construction United Arab Emirates 2–10 323
Jack & Jill
jackandjill.ai
 Technology, Information and Internet 2–10 274
CVS Health
cvshealth.com
 Hospitals and Health Care Woonsocket, United States 10,001+ 1,856
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
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
Liberty Mutual Insurance
libertymutualgroup.com
 Insurance Boston, United States 10,001+ 410
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
Pandora
pandoragroup.com
 Retail Luxury Goods and Jewelry Copenhagen, Denmark 10,001+ 369
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
Standard Chartered India
sc.com
 Banking 10,001+ 235
State Street
statestreet.com
 Financial Services Boston, United States 10,001+ 404
Loblaw Companies Limited
loblaw.ca
 Retail Brampton, Canada 10,001+ 459
Saab
saab.com
 Defense and Space Manufacturing Stockholm, Sweden 10,001+ 265
Capital One
capitalone.com
 Financial Services McLean, United States 10,001+ 482
Cargill
cargill.com
 Food and Beverage Manufacturing Wayzata, United States 10,001+ 432
HD Supply
hdsupply.com
 Wholesale Atlanta, United States 10,001+ 242
WSP in India
wsp.com
 Professional Services Noida, India 10,001+ 483
Target
target.com
 Retail Minneapolis, United States 10,001+ 1,085
Philip Morris International
pmi.com
 Manufacturing Lausanne, Switzerland 10,001+ 913
Bosch Hungary
bosch.hu
 Software Development Budapest, Hungary 10,001+ 216
Jabil
jabil.com
 Appliances, Electrical, and Electronics Manufacturing Saint Petersburg, United States 10,001+ 401
Politie Nederland
kombijdepolitie.nl
 Law Enforcement 10,001+ 202
KBR Careers
kbr.com
 IT Services and IT Consulting Houston, United States 10,001+ 207
GXO Logistics, Inc.
gxo.com
 Transportation, Logistics, Supply Chain and Storage Greenwich, United States 10,001+ 335
CEVA Logistics
cevalogistics.com
 Transportation, Logistics, Supply Chain and Storage Marseille, France 10,001+ 209
Mercado Libre
mercadolibre.com
 Internet Publishing Buenos Aires, Argentina 10,001+ 221
PKO Bank Polski
pkobp.pl
 Banking Warsaw, Poland 10,001+ 338

5,664 companies use NumPy. Want the full list?

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Market Signal

With 5,664 companies across 109 countries and IT Services and IT Consulting (1,470) leading Software Development (840) and Financial Services (507), the market is broad, and much demand flows through consultancies building for end clients, so sellers should target both delivery partners and the enterprises they serve.

Stack Intelligence

NumPy rarely appears alone: python is the host language, pandas adds tabular manipulation on NumPy arrays, and scikit-learn builds machine learning models on top of both. A company hiring for all four runs a full Python data science stack, a sign of in-house modeling maturity and a likely buyer of feature stores, experiment tracking and model monitoring.

Hiring Landscape

NumPy in the Market

Where and how companies hire NumPy talent

By Country

United States
2,236
India
629
United Kingdom
350
China
316
Brazil
312
Germany
268
France
213
Spain
163

By Industry

IT Services and IT Consulting
1,470
Software Development
840
Financial Services
507
Technology, Information and Internet
369
Business Consulting and Services
277
Information Technology & Services
220
Defense and Space Manufacturing
124
Insurance
99

Top Roles

Software Engineer1,535Data Engineer1,383Project Manager1,157Data Scientist1,110Product Manager1,071Business Analyst865Devops Engineer787Ai Engineer748Data Analyst718Full Stack Developer538Account Manager520Program Manager496

Related Technologies

PythonPandasscikit-learn

What is NumPy?

NumPy is the foundational numerical computing library for Python, providing fast n-dimensional arrays that underpin most data science and ML work.

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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 NumPy?

NumPy is an open-source Python library for fast numerical computing on multidimensional arrays, used in analytics, machine learning, finance and scientific workloads. When a company hires for it, it signals active investment in Python-based data and modeling work.

Why should sales teams track NumPy hiring?

NumPy hiring reveals which companies are building analytics and ML capabilities in-house, often before they buy supporting infrastructure. For example, a data observability vendor can target financial services firms listing NumPy in Data Engineer roles, since those teams own pipelines that need monitoring.

Who should be selling to companies that use NumPy?

Cloud and GPU compute providers, data platform and warehouse vendors, MLOps and experiment-tracking tools, and data engineering consultancies are natural sellers to companies using NumPy.