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Data Scientist Finance Jobs (NOW HIRING)

SAP North America

Senior Data Scientist

Senior Data Scientist Location: Newtown Square, PA Work Model: Hybrid work model Purpose and ... Collaborate with departments such as product, marketing, sales and finance to understand and ...

SAP

Senior Data Scientist

Newtown Square, PA · On-site

Senior Data Scientist Location: Newtown Square, PA Work Model: Hybrid work model Purpose and ... Collaborate with departments such as product, marketing, sales and finance to understand and ...

Omniscius Consulting

Data Scientist

Washington, DC · On-site

Department of the Treasury Financial Crimes Enforcement Network (FinCEN) program in Washington, DC. This position will apply advanced data science, statistical modeling, and machine learning ...

Omniscius

Department of the Treasury Financial Crimes Enforcement Network (FinCEN) program in Washington, DC. This position will apply advanced data science, statistical modeling, and machine learning ...

Omniscius

Data Scientist

Washington, DC · On-site

Department of the Treasury Financial Crimes Enforcement Network (FinCEN) program in Washington, DC. This position will apply advanced data science, statistical modeling, and machine learning ...

SAP SE

Senior Data Scientist

Newtown Square, PA · On-site

Purpose and Objective SAP America, Inc. seeks a Senior Data Scientist at our Newtown Square, PA ... Collaborate with departments such as product, marketing, sales and finance to understand and ...

Dovel Technologies, Inc

$98K - $163K/yr

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, Criminal Justice, Intelligence Studies, or related field. 4+ years of experience developing ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis ...

Unchain Data

Apply data science and analytical methods to develop reusable models, reports, dashboards, and ... veterans of energy, finance, and government. * Debate ideas and alternatives in a truly ...

Unchain Data

Data Scientist

Miami, FL · On-site

Apply data science and analytical methods to develop reusable models, reports, dashboards, and ... veterans of energy, finance, and government. * Debate ideas and alternatives in a truly ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis ...

1872 Consulting

Data Scientist

Tempe, AZ · On-site

... Science, Finance, Accounting, Economics, Statistics or operational research • 6+ years of ... data modeling tools is a plus • Working knowledge with Tableau is a plus Company : 1872 ...

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How much do data scientist finance jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data scientist finance in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a data scientist finance?

A Data Scientist in Finance leverages data analysis, statistical modeling, and machine learning techniques to extract insights from financial data. They work on tasks like risk modeling, fraud detection, algorithmic trading, and customer analytics. Their role involves cleaning and processing large datasets, building predictive models, and providing data-driven recommendations to improve financial decision-making. Strong programming skills in Python or R, experience with databases, and knowledge of finance and economics are essential for success in this role.

What are typical challenges faced by data scientists working in the finance sector?

Data Scientists in finance often work with large and complex datasets that require rigorous data cleaning and validation to ensure accuracy. They must also navigate strict regulatory requirements and data privacy rules, which can impact how data is processed and shared. Additionally, translating complex analytical models into actionable insights for stakeholders who may not have a technical background is a common challenge. Strong problem-solving skills, clear communication, and continuous learning are key to overcoming these hurdles and succeeding in the role.

What are the key skills and qualifications needed to thrive as a data scientist finance?

To thrive as a Data Scientist Finance, you need a strong background in statistics, data analysis, financial theory, and typically a degree in a quantitative field such as mathematics, finance, or computer science. Proficiency with programming languages like Python or R, expertise in data visualization tools, experience with SQL, and familiarity with machine learning libraries are highly valued, along with certifications such as CFA or FRM being advantageous. Excellent communication, problem-solving, and business acumen are crucial soft skills for conveying analytical insights and collaborating with cross-functional teams. These abilities are essential for delivering actionable financial insights that support strategic decision-making and drive business performance.

Do data scientists work in finance?

Yes, data scientists often work in finance, where they analyze large datasets to identify trends, assess risk, and develop predictive models. They use tools like Python, R, and SQL, and their work supports decision-making in areas such as investment strategies, fraud detection, and financial forecasting.
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Infographic showing various Data Scientist Finance job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Wilmington, DE • On-site

Continental Finance Company
Finance and Insurance • 51 - 200 employees
Learn more about Continental Finance Companyexternal

Full-time

Posted 25 days ago

Key responsibilities

  • Develop and design models, strategies, and operational guidelines related to credit card risk metrics.

  • Collaborate with Risk Management to resolve issues and support documentation related to data science projects.

  • Test new statistical tools and packages to enhance data modeling and analysis capabilities.

Job description

Come join a growing financial technology company that’s leading the marketplace in both the marketing and servicing of credit cards! Continental Finance Company specializes in credit card options for those consumers with less than perfect credit. We are seeking a Data Scientist to support our Data Science team.


The Data Scientist is responsible for the development of models, strategies, and operational guidelines for the organization's various credit card products as they relate to the analysis, tracking, and reporting of various risk metrics.

Essential Functions:

  • Develop and design best in class models.
  • Develop and design best in class market intelligence applications that support decision making.
  • Collaboration with Risk Management to resolve outstanding issues and support documentation quickly and efficiently as required.
  • Test new statistical tools and packages.

The ideal candidate will have the following:

  • Master’s Degree in Data Science, Statistics, Applied Mathematics, or related field required.
  • Expert knowledge of classical statistical techniques such as linear regression and maximum likelihood regression.
  • Expert knowledge of machine learning and AI methods including CART, Random Forests and XGBoost.
  • Experience in creating complex data models using Python is required.
  • Experience in creating complex data visualizations and queries using Tableau and SQL.
  • Experience writing SQL queries for data aggregation and analysis.
  • Excellent communication skills, written and verbal, with the ability to clearly communicate to all levels of management.


Why Continental Finance?

Continental Finance Company (the “CFC”) is one of America’s leading marketers and servicers of credit cards for consumers with less-than-perfect credit. Since our founding in 2005, we have prided ourselves on corporate responsibility to customers in terms of a strong customer support program and fair treatment.  With our success, we have also grown into an innovative financial tech company! With a state-of-the-art consumer marketing and servicing platform, we provide a variety of services to consumers when other financial institutions will not accommodate them. With more than 2.6 million credit cards managed and serviced since our founding, we pride ourselves on putting the customer first. We are not a chartered banking financial institution, nor are we a debt originator or a credit card issuer.

CFC is an equal opportunity employer that is committed to inclusion and diversity. Our company provides equal employment opportunity (EEO) regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.


CFC is seeking bright, energetic individuals that will help us grow and develop together! We uphold a promise to treat our employees with the same care and concern as we do our customers. We offer all employees competitive compensation and benefits in an exciting, fast-paced business casual environment. Join our growing team and apply online today!

CFC offers a hybrid work schedule which includes three (3) core days in the office (Tuesday, Wednesday, and Thursday) and two (2) remote workdays (Monday and Friday)


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