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Entry Level Data Scientist Finance Jobs (NOW HIRING)

Continental Finance

Data Scientist

Wilmington, DE · Hybrid

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 ...

Cliftonlarsonallen

Data Scientist II

Boise, ID · On-site

Experience in data analytics, statistics, data science, financial consulting, computer science or related field preferred. * Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based ...

Voya Financial, Inc.

Data Scientist

Hartford, CT · On-site

$109K - $136K/yr

Together we fight for everyone's opportunity for a better financial future. We will do this ... Deliver data science solutions by building predictive models and advanced analytics using ...

Global Lending Services

Data Scientist

Greenville, SC · On-site

... financing option for their next vehicle. That's what GLS has done for over 10 years, helping more ... This posting is to enter our campus recruiting and entry-level process for position offers being ...

Global Lending Services

Data Scientist

Greenville, SC

... financing option for their next vehicle. That's what GLS has done for over 10 years, helping more ... This posting is to enter our campus recruiting and entry-level process for position offers being ...

Global Lending Services

Data Scientist

Greenville, SC

... financing option for their next vehicle. That's what GLS has done for over 10 years, helping more ... This posting is to enter our campus recruiting and entry-level process for position offers being ...

Procter & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Proctor & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

FAVARH

Data Scientist

Hartford, CT · On-site

$109K - $136K/yr

Together we fight for everyone's opportunity for a better financial future. We will do this ... Deliver data science solutions by building predictive models and advanced analytics using ...

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Entry Level Data Scientist Finance information

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$37.5K

$122.7K

$196.5K

How much do entry level data scientist finance jobs pay per year?

As of Jun 12, 2026, the average yearly pay for entry level 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 the difference between Entry Level Data Scientist Finance vs Entry Level Data Analyst Finance?

AspectEntry Level Data Scientist FinanceEntry Level Data Analyst Finance
Required CredentialsBachelor's in Data Science, Statistics, or related field; some roles prefer Python, R, SQL skillsBachelor's in Finance, Economics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentData teams, analytics departments, or finance divisions within banks, investment firms, or corporationsFinancial institutions, consulting firms, or corporate finance departments
Employer & Industry UsageUsed in financial modeling, risk analysis, and predictive analyticsUsed in reporting, trend analysis, and operational insights

Entry Level Data Scientist Finance focuses on advanced analytics, machine learning, and programming skills, while Entry Level Data Analyst Finance emphasizes data reporting, visualization, and basic analysis. Both roles are essential in finance but differ in technical complexity and focus areas.

More about Entry Level Data Scientist Finance jobs
What cities are hiring for Entry Level Data Scientist Finance jobs? Cities with the most Entry Level Data Scientist Finance job openings:
What are the most commonly searched types of Data Scientist Finance jobs? The most popular types of Data Scientist Finance jobs are:
What states have the most Entry Level Data Scientist Finance jobs? States with the most job openings for Entry Level Data Scientist Finance jobs include:
What job categories do people searching Entry Level Data Scientist Finance jobs look for? The top searched job categories for Entry Level Data Scientist Finance jobs are:
Entry Level Data Scientist Finance jobs near you
Infographic showing various Entry Level Data Scientist Finance job openings in the United States as of June 2026, with employment types broken down into 39% Full Time, and 61% Part Time. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

Continental Finance

Wilmington, DE • Hybrid

Full-time

Posted 14 days ago

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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