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Freelance Data Scientist Finance Jobs (NOW HIRING)

Continental Finance Company

Data Scientist

Wilmington, DE · On-site

$90 - $130/hr

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 ...

Euroclear

NY · On-site

$120 - $180/hr

Euroclear is a financial services company that specializes in the settlement of securities ... Please note that this is a permanent position and we do not offer freelance/contract arrangement ...

Associated Builders and Contractors (ABC)

$83 - $138/hr

Freelance autonomy with the structure of meaningful, high‑impact technical work * Make a tangible contribution to how AI understands and applies data science at scale * Potential for ongoing ...

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 ...

New

Omniscius

Data Scientist

Washington, DC · On-site

$140 - $200/hr

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 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

$140 - $200/hr

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 ...

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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Freelance Data Scientist Finance information

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How much do freelance data scientist finance jobs pay per year?

As of Sep 2, 2026, the average yearly pay for freelance 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 does a freelance data scientist in finance do?

A Freelance Data Scientist in Finance analyzes financial data to uncover trends, create predictive models, and provide actionable insights for clients in the financial sector. Their work often involves tasks such as risk assessment, fraud detection, algorithm development, and building data-driven strategies for investment or lending. As freelancers, they work independently with multiple clients, offering specialized expertise without being tied to a single employer. They use tools like Python, R, and SQL to manipulate data and communicate findings to stakeholders. This role requires a strong foundation in statistics, finance, and programming.

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

To thrive as a Freelance Data Scientist in Finance, you need strong analytical abilities, expertise in statistics and quantitative analysis, and a solid grasp of financial concepts, usually supported by a degree in a related field. Proficiency with programming languages like Python or R, experience with financial modeling tools, and familiarity with databases and data visualization platforms are typically required. Excellent communication, problem-solving skills, and the ability to manage projects independently make someone stand out in this role. These competencies are crucial for delivering actionable insights, meeting client expectations, and maintaining trust in a rapidly evolving financial landscape.

What are some common challenges freelance data scientists face when working with finance clients?

Freelance data scientists in the finance sector often encounter challenges related to data privacy, regulatory compliance, and inconsistent data quality. Since financial institutions handle sensitive information, you may need to navigate strict security protocols and obtain necessary clearances before accessing datasets. Additionally, finance clients may have complex legacy systems or fragmented data sources, requiring extra effort to preprocess and integrate data. Communication is also key, as you'll often need to clearly explain your technical findings to non-technical stakeholders to drive actionable business decisions.

What is the difference between Freelance Data Scientist Finance vs Freelance Data Analyst Finance?

AspectFreelance Data Scientist FinanceFreelance Data Analyst Finance
Required SkillsAdvanced statistical modeling, machine learning, programming (Python, R)Data cleaning, reporting, basic analytics (Excel, SQL)
Work EnvironmentComplex projects, predictive modeling, algorithm developmentData reporting, visualization, descriptive analysis
Common UsageDeveloping models to forecast financial trendsGenerating reports and dashboards for financial insights

Freelance Data Scientist Finance focuses on building predictive models and advanced analytics, requiring programming and statistical expertise. In contrast, Freelance Data Analyst Finance emphasizes data reporting, visualization, and basic analysis. Both roles serve the finance industry but differ in complexity and technical skills needed.

What cities are hiring for Freelance Data Scientist Finance jobs?

Cities with the most Freelance 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 Freelance Data Scientist Finance jobs?

States with the most job openings for Freelance Data Scientist Finance jobs include:

Freelance Data Scientist Finance jobs near you

Data Scientist

Continental Finance Company

Wilmington, DE • On-site

Full-time

Re-posted 5 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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