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Freelance Fintech Data Scientist Jobs (NOW HIRING)

Data Scientist

Ocoee, FL · On-site

$70K - $85K/yr

Data Scientist Location: Orlando, FL (Onsite) Job Type: Full Time, Direct-Hire/Permanent Salary ... They operate like a modern, multi-division fintech powerhouse - leading an entirely new category in ...

S. fintech serving people who have been overlooked by traditional banks. As a Senior Data Scientist on the Data and Growth teams, you will focus on machine learning modeling to build predictive ...

... across fintech, healthtech, and SaaS companies. Certification Support - Boost your résumé with IBM Data Science, AWS Data Analytics, Microsoft Power BI, and more--while building real-world ...

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146.90K/yr

We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the ... In a fintech environment where trust, speed, and compliance are critical, this role ensures that ...

We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the ... In a fintech environment where trust, speed, and compliance are critical, this role ensures that ...

... across fintech, healthtech, and SaaS companies. Certification Support - Boost your résumé with IBM Data Science, AWS Data Analytics, Microsoft Power BI, and more--while building real-world ...

Senior Data Scientist

San Francisco, CA · On-site

$226K - $254K/yr

Kikoff: The Fintech Powering Financial Security at Scale Kikoff is a profitable, pre-IPO fintech ... About the Role As a Senior Data Scientist at Kikoff, you work closely with cross functional teams ...

Stay abreast of industry trends in AI, machine learning, and fintech to drive innovation Who You Are * You have an advanced degree (Master's or Ph.D.) in Data Science, Machine Learning, Statistics ...

Data Scientist

New York, NY · On-site

$200K - $225K/yr

This role blends data science, customer analytics, financial analysis, and market insights to ... Experience with fintech, e-commerce, lending, or D2C businesses * Background in FP&A or consumer ...

Senior Data Scientist

San Francisco, CA · On-site

$226K - $254K/yr

Kikoff: The Fintech Powering Financial Security at Scale Kikoff is a profitable, pre-IPO fintech ... About the Role As a Senior Data Scientist at Kikoff, you work closely with cross functional teams ...

... across fintech, healthtech, and SaaS companies. • Certification Support - Boost your resume with IBM Data Science, AWS Data Analytics, Microsoft Power BI, and more-while building real-world ...

Required : • Master's degree in quantitative field. • 5+ years of hands-on experience in data science, credit risk analytics, or quantitative modeling. • Experience in fintech, lending, banking ...

... across fintech, healthtech, and SaaS companies. • Certification Support - Boost your résumé with IBM Data Science, AWS Data Analytics, Microsoft Power BI, and more-while building real-world ...

Kikoff is a profitable, pre-IPO fintech company on a mission to empower everyone to achieve financial security. As a Senior Data Scientist, you will work closely with cross-functional teams to apply ...

Kikoff: The Fintech Powering Financial Security at Scale Kikoff is a profitable, pre-IPO fintech ... and our Head of Marketing Data Science. Responsibilities * Own marketing measurement and ...

Kikoff: The Fintech Powering Financial Security at Scale Kikoff is a profitable, pre-IPO fintech ... and our Head of Marketing Data Science. Responsibilities * Own marketing measurement and ...

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Showing results 1-20

Freelance Fintech Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

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

As of May 28, 2026, the average yearly pay for freelance fintech data scientist 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 Freelance Fintech Data Scientist vs Freelance Data Analyst?

AspectFreelance Fintech Data ScientistFreelance Data Analyst
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R), fintech domain knowledgeData cleaning, basic analysis, visualization, Excel, SQL
Work EnvironmentProject-based, remote or on-site, often collaborating with fintech startups or financial institutionsSimilar, often remote, supporting various industries including finance
Employer & Industry UsageFintech companies, banks, financial service providersVarious industries, including finance, retail, healthcare

Freelance Fintech Data Scientists focus on advanced analytics and machine learning tailored to financial technology projects, while Freelance Data Analysts handle more straightforward data interpretation and reporting. Both roles are in demand but differ in complexity and technical expertise required.

More about Freelance Fintech Data Scientist jobs
What cities are hiring for Freelance Fintech Data Scientist jobs? Cities with the most Freelance Fintech Data Scientist job openings:
What are the most commonly searched types of Fintech Data Scientist jobs? The most popular types of Fintech Data Scientist jobs are:
What states have the most Freelance Fintech Data Scientist jobs? States with the most job openings for Freelance Fintech Data Scientist jobs include:
Infographic showing various Freelance Fintech Data Scientist job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 60% Physical, 20% Hybrid, and 20% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

CFS

Ocoee, FL • On-site

$70K - $85K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Data Scientist
Location: Orlando, FL (Onsite)
Job Type: Full Time, Direct-Hire/Permanent
Salary: $70,000 - 85,000 base + Quarterly Bonus + Equity
Benefits: Free Healthcare, 401k match, PTO, HSA, FSA, Employee Assistance Program, and more.
Why Join the Company:

  • Competitive compensation package including free healthcare options with bonus potential and equity after 1 year of employment.
  • The organization is shaping the future of financial services with cutting‑edge tech - innovating through advanced technology, proprietary data analytics, and tech‑driven investment strategies
  • They operate like a modern, multi-division fintech powerhouse - leading an entirely new category in longevity‑based investing—truly a unique place to build a career at the forefront of an emerging market

About the Role:

Seeking a Data Scientist to assist with designing, development, and deployment of advanced analytics and machine learning solutions. This role is ideal for someone who thrives in complex data environments, enjoys solving high‑impact business problems, and can translate analytical insights into actionable strategies.

Job Responsibilities of the Data Scientist:

  • Design, build, validate, and deploy machine learning models and advanced analytics solutions in production environments.
  • Analyze large, complex structured and unstructured datasets to uncover trends, patterns, and opportunities.
  • Apply advanced statistical modeling, hypothesis testing, and experimental design methodologies to answer key business questions.
  • Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process, analyze, and transform data.
  • Work closely with engineering and product teams to integrate analytics solutions into enterprise systems.
  • Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or seaborn.
  • Leverage cloud platforms (AWS, Azure, or GCP) and modern data stack technologies to improve model performance and data workflows.
  • Communicate insights and recommendations to technical and non‑technical stakeholders.

Preferred Experience of the Data Scientist:

  • 1+ years of experience in data science, machine learning, or advanced analytics roles
  • Proficiency in Python (e.g., pandas, scikit-learn, NumPy) and SQL
  • Experience building, validating, and deploying machine learning models
  • Understanding of statistical modeling, experimental design, and hypothesis testing
  • Experience working with large, complex datasets (structured and unstructured)
  • Strong communication skills with the ability to translate complex concepts into business‑friendly insights
  • Collaborative mindset with experience influencing stakeholders across technical and non‑technical teams
  • Curiosity, adaptability, and a passion for continuous learning

Bonus Experience of the Data Scientist:

  • Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stacks
  • Data visualization skills (e.g., Tableau, Power BI, matplotlib, seaborn)
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