174 companies are hiring scikit-learn talent in Brazil.
scikit-learn is the dominant Python library for building classical machine learning models — think classification, regression, clustering, and feature engineering pipelines. When a Brazilian company posts scikit-learn roles, they're not experimenting; they're operationalizing ML into products or internal tooling. That signals active spend on data infrastructure, MLOps platforms, and cloud compute.
A company hiring for scikit-learn in Brazil is likely mid-build on a predictive analytics or automation initiative — which means they need model deployment infrastructure, data pipeline tooling, and possibly training or consulting support. Financial services firms running credit scoring models and IT consultancies building client-facing ML products are the highest-signal accounts here. If you sell data platforms, cloud ML services, or analytics tooling, these 176 companies are active buyers, not prospects.
| Company | Industry | HQ Location | Size | Jobs | Links |
|---|---|---|---|---|---|
PagBank pagbank.com.br |
Financial Services | São Paulo, Brazil | 5,001+ | 334 | |
BTG Pactual btgpactual.com |
Financial Services | Brazil | 5,001+ | 390 | |
act digital actdigital.com |
IT Services and IT Consulting | Barueri, Brazil | 5,001+ | 385 | |
Nubank nubank.com.br |
Financial Services | São Paulo, Brazil | 5,001+ | 145 | |
XP Inc. xpinc.com |
Financial Services | Brazil | 5,001+ | 242 | |
Hypera hyperapharma.com.br |
Pharmaceutical Manufacturing | Brazil | 5,001+ | 131 | |
iFood ifood.com.br |
Software Development | Osasco, Brazil | 5,001+ | 100 | |
Sotreq S/A sotreq.com.br |
Machinery Manufacturing | Brazil | 1,001–5,000 | 418 | |
FCamara fcamara.com |
IT Services and IT Consulting | Brazil | 1,001–5,000 | 279 | |
Swift swift.com.br |
Retail | São Paulo, Brazil | 1,001–5,000 | 248 | |
Inter intergo.app |
Financial Services | Belo Horizonte, Brazil | 1,001–5,000 | 192 | |
LUZA Group luzagroup.com |
Engineering Services | Brazil | 1,001–5,000 | 317 | |
Serasa Experian serasaexperian.com.br |
Information Services | Brazil | 1,001–5,000 | 186 | |
DIGISYSTEM - IT Solutions digisystem.com.br |
IT Services and IT Consulting | Brazil | 1,001–5,000 | 168 | |
CPQD cpqd.com.br |
IT Services and IT Consulting | Brazil | 1,001–5,000 | 80 | |
Radix radixeng.com |
IT Services and IT Consulting | Campinas, Brazil | 1,001–5,000 | 140 | |
Vibra vibraenergia.com.br |
Wholesale Petroleum and Petroleum Products | Rio de Janeiro, Brazil | 1,001–5,000 | 93 | |
B3 b3.com.br |
Financial Services | São Paulo, Brazil | 1,001–5,000 | 55 | |
EVT IT evtit.com |
IT Services and IT Consulting | Brazil | 501–1,000 | 67 | |
La Moda lamoda.com.br |
Retail Apparel and Fashion | Brazil | 501–1,000 | 95 | |
W1 Consultoria w1.com.br |
Financial Services | Brazil | 501–1,000 | 67 | |
ASAAS asaas.com |
Financial Services | Brazil | 501–1,000 | 65 | |
innolevels innolevels.com.br |
Information Technology & Services | Brazil | 201–500 | 250 | |
Clara clara.com |
Financial Services | Brazil | 201–500 | 91 | |
Galapagos Capital galapagoscapital.com |
Financial Services | São Paulo, Brazil | 201–500 | 54 | |
Thera Consulting theraconsulting.com.br |
IT Services and IT Consulting | Brazil | 201–500 | 62 | |
Ninecon Consultores Associados Ltda ninecon.com.br |
IT Services and IT Consulting | Barueri, Brazil | 201–500 | 73 | |
Tecla T teclat.com.br |
IT Services and IT Consulting | Brazil | 51–200 | 134 | |
Rede D'Or rededorsaoluiz.com.br |
Hospitals and Health Care | Brazil | 10,001+ | 1,377 | |
Assaí Atacadista assai.com.br |
Wholesale | São Paulo, Brazil | 10,001+ | 995 | |
Banco Bradesco banco.bradesco |
Banking | Brazil | 10,001+ | 443 | |
Stefanini Brasil stefanini.com.br |
Business Consulting and Services | São Paulo, Brazil | 10,001+ | 545 | |
JBS jbs.com.br |
Food and Beverage Manufacturing | São Paulo, Brazil | 10,001+ | 544 | |
Mercado Livre Brasil mercadolivre.com |
Technology, Information and Internet | Osasco, Brazil | 10,001+ | 395 | |
Grupo Fleury grupofleury.com.br |
Wellness and Fitness Services | São Paulo, Brazil | 10,001+ | 366 | |
C&A Brasil cea.com.br |
Retail Apparel and Fashion | Barueri, Brazil | 10,001+ | 481 | |
Santander Brasil santander.com.br |
Banking | Brazil | 10,001+ | 253 | |
Porto porto.vc |
Insurance | São Paulo, Brazil | 10,001+ | 327 | |
Stefanini Group stefanini.com |
Business Consulting and Services | São Paulo, Brazil | 10,001+ | 268 | |
Accenture Brasil accenture.com.br |
IT Services and IT Consulting | Brazil | 10,001+ | 322 | |
Embraer embraer.com |
Aviation and Aerospace Component Manufacturing | São José dos Campos, Brazil | 10,001+ | 258 | |
Claro Brasil claro.com.br |
Telecommunications | São Paulo, Brazil | 10,001+ | 88 | |
Minerva Foods minervafoods.com |
Food and Beverage Manufacturing | Brazil | 10,001+ | 97 | |
Safra safra.com.br |
Banking | São Paulo, Brazil | 10,001+ | 81 |
174 companies use scikit-learn. Want the full list?
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Companies with open scikit-learn roles in Brazil. Company HQ may be in a different location.
176 companies posting over 13,500 roles signals that scikit-learn adoption in Brazil has moved well past early adopters — this is mainstream enterprise ML. The volume suggests a tight talent market where companies are also likely to buy tooling that accelerates productivity.
scikit-learn roles almost always co-occur with Python, pandas, and NumPy because these form the core data science stack — finding all four in a job posting means a mature, production-oriented team rather than an exploratory one. PyTorch appearing alongside scikit-learn indicates companies building both classical and deep learning pipelines, signaling larger ML budgets and more complex infrastructure needs. For sales targeting, this stack combination identifies buyers likely evaluating MLOps platforms, vector databases, and GPU cloud compute.
Where and how companies hire scikit-learn talent
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scikit-learn is an open-source Python library that provides tools for predictive modeling and data analysis at the production level. Businesses use it to build models that power recommendations, fraud detection, churn prediction, and process automation. Hiring for it signals an active ML buildout, not just exploration.
scikit-learn hiring predicts near-term spend on data infrastructure, cloud compute, and ML tooling. An AE selling a feature store or model monitoring platform should treat any company hiring Data Scientists and Data Engineers with scikit-learn in the job description as a warm account.
Vendors best positioned to sell into scikit-learn-hiring companies include MLOps and model monitoring platforms, cloud data warehouse and pipeline providers, BI and analytics tools, and enterprise Python training or consulting firms.