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COMPANIES USING

Financial Services Companies Using scikit-learn

251 companies in Financial Services are hiring scikit-learn talent.

scikit-learn is the default machine learning library for teams building predictive models in Python — credit scoring, fraud detection, churn prediction, and risk classification are all common use cases in financial services. When a financial firm posts scikit-learn roles, they're signaling active investment in ML infrastructure, not just experimentation. These companies are likely buying data pipeline tooling, model monitoring platforms, and cloud compute to operationalize what their data teams build.

Buying Signal

A financial services company hiring scikit-learn talent is typically mid-build on a production ML system — past the proof-of-concept stage and moving toward deployment. That means they're actively evaluating or purchasing MLOps platforms, feature stores, and data observability tools. Sales reps at vendors like DataRobot, Monte Carlo, or Snowflake should be prioritizing these accounts.

Top Companies45 shown

CompanyIndustryHQ LocationSizeJobsLinks
Capco
capco.com
 Financial Services Greater London, United Kingdom 5,001+ 1,037
Natixis Corporate & Investment Banking
natixis.com
 Financial Services Paris, France 5,001+ 410
Worldpay
worldpay.com
 Financial Services Cincinnati, United States 5,001+ 359
PagBank
pagbank.com.br
 Financial Services São Paulo, Brazil 5,001+ 334
Alter Domus
alterdomus.com
 Financial Services Luxembourg 5,001+ 356
BTG Pactual
btgpactual.com
 Financial Services Brazil 5,001+ 390
BDO Canada
bdo.ca
 Financial Services Toronto, Canada 1,001–5,000 1,042
SoFi
sofi.com
 Financial Services San Francisco, United States 1,001–5,000 918
Crisil
crisil.com
 Financial Services Mumbai, India 1,001–5,000 1,092
Pacific Life
pacificlife.com
 Financial Services Newport Beach, United States 1,001–5,000 454
Ria Money Transfer
riamoneytransfer.com
 Financial Services Buena Park, United States 1,001–5,000 420
Ramp
ramp.com
 Financial Services New York, United States 1,001–5,000 533
Early Warning®
earlywarning.com
 Financial Services Scottsdale, United States 1,001–5,000 350
SumUp
sumup.co.uk
 Financial Services Greater London, United Kingdom 1,001–5,000 719
Maya
maya.ph
 Financial Services Mandaluyong, Philippines 501–1,000 329
ForFutures Financial, Planning, a financial advisory practice of Ameriprise Financial Services LLC
fafltd.com
 Financial Services Marlton, United States 2–10 354
PNC
pnc.com
 Financial Services Pittsburgh, United States 10,001+ 2,213
HSBC
hsbc.com
 Financial Services Greater London, United Kingdom 10,001+ 1,775
Capital One
capitalone.com
 Financial Services McLean, United States 10,001+ 1,764
JPMorganChase
jpmorganchase.com
 Financial Services New York, United States 10,001+ 1,691
State Street
statestreet.com
 Financial Services Boston, United States 10,001+ 1,704
Barclays
home.barclays
 Financial Services Greater London, United Kingdom 10,001+ 1,711
Deutsche Bank
db.com
 Financial Services Frankfurt, Germany 10,001+ 1,586
Citi
citigroup.com
 Financial Services New York, United States 10,001+ 1,941
Morgan Stanley
morganstanley.com
 Financial Services New York, United States 10,001+ 1,610
BNY
bny.com
 Financial Services New York, United States 10,001+ 1,558
Goldman Sachs
goldmansachs.com
 Financial Services New York, United States 10,001+ 1,563
WTW
wtwco.com
 Financial Services City of London, United Kingdom 10,001+ 1,313
UBS
ubs.com
 Financial Services Zurich, Switzerland 10,001+ 1,393
BlackRock
blackrock.com
 Financial Services New York, United States 10,001+ 979
Vanguard
vanguard.com
 Financial Services Schuylkill Township, United States 10,001+ 1,076
American Express
americanexpress.com
 Financial Services New York, United States 10,001+ 898
Charles Schwab
aboutschwab.com
 Financial Services Westlake, United States 10,001+ 833
Global Payments Inc.
globalpayments.com
 Financial Services Atlanta, United States 10,001+ 1,065
MUFG
mufg.jp
 Financial Services Chiyoda, Japan 10,001+ 1,075
Fidelity Investments
fidelity.com
 Financial Services Boston, United States 10,001+ 941
Sun Life
sunlife.com
 Financial Services Hong Kong, China 10,001+ 847
Lloyds Banking Group
lloydsbankinggroup.com
 Financial Services Greater London, United Kingdom 10,001+ 630
Equifax
equifax.com
 Financial Services Atlanta, United States 10,001+ 541
First American
firstam.com
 Financial Services Santa Ana, United States 10,001+ 509
ICE
ice.com
 Financial Services Atlanta, United States 10,001+ 577
KPMG France
kpmg.fr
 Financial Services Courbevoie, France 10,001+ 395
Northern Trust
northerntrust.com
 Financial Services Chicago, United States 10,001+ 423
Danske Bank
danskebank.com
 Financial Services Copenhagen, Denmark 10,001+ 374
Legal & General
legalandgeneral.com
 Financial Services City of London, United Kingdom 10,001+ 274

251 companies use scikit-learn. Want the full list?

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Market Signal

251 financial services companies hiring across nearly 49,000 open roles is not a pipeline blip — it reflects structural adoption of ML-driven decision-making across lending, insurance, trading, and compliance. The volume suggests these aren't one-off data science hires; companies are building full ML teams.

Stack Intelligence

scikit-learn hiring almost always appears alongside Python, pandas, numpy, and increasingly PyTorch — a stack that signals a team moving from classical ML toward deep learning experimentation. For sales teams, this combination indicates a maturing data org with budget authority spread across engineering, data science, and infrastructure. Vendors selling to one layer of this stack have a natural entry point into the others.

Hiring Landscape

scikit-learn in the Market

Where and how companies hire scikit-learn talent

By Country

United States
85
Brazil
25
United Kingdom
17
India
13
Canada
11
France
10
Germany
10
Netherlands
10

Top Roles

Data Scientist144Product Manager130Data Engineer122Software Engineer116Data Analyst92Business Analyst81Project Manager79Product Owner61Ai Engineer59Devops Engineer59Machine Learning Engineer58Product Designer57

Related Technologies

PythonPandasNumPyPyTorch
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Frequently Asked Questions

What is scikit-learn?

scikit-learn is a Python library used to build and deploy machine learning models for classification, regression, and clustering tasks. In financial services, it powers core business functions like fraud scoring, credit risk models, and customer segmentation. Hiring for it signals a team actively building or scaling these capabilities.

Why should sales teams track scikit-learn hiring?

scikit-learn hiring predicts near-term spend on ML infrastructure, cloud services, and data tooling. A financial firm adding five scikit-learn engineers is likely 60 to 90 days from evaluating a model deployment or monitoring solution. That's a timed buying signal, not just a tech flag.

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

MLOps and model monitoring vendors, cloud data warehouse providers, data integration platforms, and AI/ML training and consulting firms are best positioned to sell into these accounts.