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Fintech Data Science Jobs (NOW HIRING)

Brigit

Director of Data Science

New York, NY · On-site

$225K - $250K/yr

Forbes Fintech 50 2022 Role Overview: At Brigit, our Data Science team has been dramatically scaling its impact. We're aiming to integrate new models across several product domains over the next year ...

Brigit

Director of Data Science

San Francisco, CA · On-site

$225K - $250K/yr

Forbes Fintech 50 2022 Role Overview: At Brigit, our Data Science team has been dramatically scaling its impact. We're aiming to integrate new models across several product domains over the next year ...

Prizeout

Data Engineer

New York, NY · On-site

$150K - $170K/yr

... Science, Operations, and Integrations teams to refine data models and onboarding processes * Continuously improve data models, infrastructure, and internal tools * Stay current on fintech data ...

Loansure

Senior Account Manager

Owings Mills, MD · Remote

$120K - $150K/yr

... cutting-edge fintech, data science, and product innovation ✅ Career advancement - Clear path to leadership roles within a fast-growing organization Position Details * Location: Remote

Mochi Health

Data Science Manager

San Francisco, CA · On-site

The Data Science Manager will oversee the Data team, ensuring alignment with company priorities and ... Experience in healthcare, fintech, or another operationally complex, high-accountability ...

Engine

Manager, Data Science

$169K - $235K/yr

... and fintech platforms in North America, with honors including the Deloitte Fast 500 and Built In ... Your Mission We are seeking a Manager of Data Science to lead our talented team of data scientists ...

BillGO, Inc.

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. * 3+ years of experience in a data science or AI-focused role within fintech, banking, or payments.

BillGO, Inc.

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. * 3+ years of experience in a data science or AI-focused role within fintech, banking, or payments.

loomis

Data Scientist

Suwanee, GA · On-site

Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...

loomis

Data Scientist

Suwanee, GA

Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...

loomis

Data Scientist

Suwanee, GA

Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...

loomis

Data Scientist

Suwanee, GA

Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...

loomis

Data Scientist

Suwanee, GA

Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...

loomis

Data Scientist

Suwanee, GA · On-site

Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...

BillGO, Inc.

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

... data science or AI-focused role within fintech, banking, or payments. • Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines. • Strong ...

BillGO, Inc.

AI Data Scientist

Fort Collins, CO · On-site

... data science or AI-focused role within fintech, banking, or payments. • Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines. • Strong ...

Loomis Armored US, LLC

Data Scientist

Suwanee, GA

Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...

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All JobsFintech Data Science Jobs

Fintech Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do fintech data science jobs pay per year?

As of Jul 21, 2026, the average yearly pay for fintech data science 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 Fintech Data Scientist?

A Fintech Data Scientist is a professional who uses data analysis, machine learning, and statistical techniques to solve problems and create value within the financial technology (fintech) industry. They work with large amounts of financial data to develop predictive models, detect fraud, assess risk, and optimize financial products or services. Their expertise combines knowledge of finance, programming, and advanced analytics to help fintech companies make data-driven decisions and innovate in areas such as payments, lending, and investment. Fintech Data Scientists often collaborate with engineers, product managers, and business stakeholders to deliver actionable insights that drive business growth.

How do data scientists in fintech typically collaborate with product and engineering teams to develop new financial products?

In fintech, data scientists often work closely with product managers and engineering teams throughout the lifecycle of a financial product. They analyze user data and market trends to provide actionable insights during the product design phase, and collaborate with engineers to implement machine learning models into the product infrastructure. Regular cross-functional meetings and agile workflows are common, allowing data scientists to iterate on models based on feedback and evolving requirements. This collaborative environment ensures that data-driven solutions are robust, scalable, and aligned with business goals.

What are the key skills and qualifications needed to thrive as a Fintech Data Scientist, and why are they important?

To thrive as a Fintech Data Scientist, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools such as Python, R, SQL, cloud computing platforms, and experience with financial data modeling or relevant certifications are typically required. Strong problem-solving skills, attention to detail, and effective communication are important soft skills that set top professionals apart. These skills and qualities are vital for extracting actionable insights from complex financial data, driving innovation, and ensuring regulatory compliance in the fast-evolving fintech industry.

What is the difference between Fintech Data Science vs Fintech Data Analyst?

AspectFintech Data ScienceFintech Data Analyst
Required SkillsAdvanced statistical, programming, and machine learning skillsData interpretation, reporting, and basic analytics
CertificationsData Science certifications, programming coursesData analysis or business intelligence certifications
Work EnvironmentDeveloping models, algorithms, and predictive analyticsData reporting, dashboards, and data cleaning
Industry UsageCreating predictive models for risk, fraud detection, and customer insightsGenerating reports, supporting decision-making with data

Fintech Data Science involves building complex models and applying machine learning techniques, requiring advanced skills and certifications. Fintech Data Analysts focus on interpreting data, creating reports, and supporting business decisions with less technical complexity. Both roles are essential in the fintech industry but differ in technical depth and responsibilities.

More about Fintech Data Science jobs
What cities are hiring for Fintech Data Science jobs? Cities with the most Fintech Data Science job openings:
What states have the most Fintech Data Science jobs? States with the most job openings for Fintech Data Science jobs include:
What job categories do people searching Fintech Data Science jobs look for? The top searched job categories for Fintech Data Science jobs are:
Fintech Data Science jobs near you
Infographic showing various Fintech Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Director of Data Science

Director of Data Science

Brigit

New York, NY • On-site

$225K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team!
Brigit is doing innovative and exciting work, but don't just take our word for it, our work is being recognized by others:
  • Built In's 2026 Best Midsize Companies to Work For in New York City
  • Built In's 2025 Best Places to Work For In New York City
  • Built In's 2024 & 2025 Best Startups to Work For In the U.S.
  • Built In's 2023 - 2025 Best Startups to Work For In New York City
  • Fast Company's Most Innovative Companies of 2022
  • Business Insider's Most Promising Consumer Startups 2022
  • Forbes Fintech 50 2022

Role Overview:
At Brigit, our Data Science team has been dramatically scaling its impact. We're aiming to integrate new models across several product domains over the next year and continue to iterate and optimize in the areas of credit risk and payments, where we already have models deployed. We are looking for a leader to enable continued adoption of AI-assisted development and agentic workflows in how the team builds, evaluates, documents, and ships data science work. Doing this will require our team to grow, but it will also require a more concerted effort to plan and integrate with product teams, understand their roadmap, and explore projects that make sense in this context. To support this growth, we'd like to hire a motivated Director of Data Science to grow and lead this team to its maximum potential.
What you'll be doing:
  • Managing and growing a team of data scientists focused on modeling key business problems.
  • Mentoring and guiding team members as they build out quantitative models in python using industry-standard techniques.
  • Evangelizing the data science team's capabilities and integrating with product, engineering and operations teams to build a roadmap and backlog of data science solutions with business impact.
  • Running quarterly planning with the engagement of business stakeholders to ensure that the team is running in the right direction.
  • Helping lead the team's adoption of AI-assisted development and agentic workflows, including identifying practical use cases, setting working norms, and ensuring these tools are used with appropriate review, validation, privacy, and quality standards.
  • Working closely with our Modeling Engineer to optimize and improve our infrastructure for model research, development and deployment.

What you have:
  • 2+ years of Data Science management with a team of >3
  • 5+ years of modeling/data science experience overall
  • 2+ years of experience at a consumer product company
  • Deep technical expertise in SQL and Python, with experience in analytics and machine learning tools (dbt, Airflow, Spark, MLflow, etc.)
  • Experience applying predictive modeling to credit risk assessment, churn prediction, loss and revenue forecasting is beneficial.
  • A Master's or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics, or Applied Mathematics) is strongly preferred
  • Strong communication skills, with the ability to distill complex analysis into actionable insights for commercial and executive stakeholders
  • A passion for developing talent and building a high-impact culture rooted in accountability, data-driven decisions, and business outcomes
  • Hands-on familiarity with modern AI-assisted coding and agentic tools such as Claude Code, Cursor, GitHub Copilot, OpenAI Codex, or similar, with a strong point of view on how these tools can improve data science productivity, quality, and business impact.

The anticipated annual base salary for this position is $225,000 - $250,000, and a 15% annual bonus opportunity. This range does not include any other compensation components or other benefits for which an individual may be eligible (other benefits listed below). The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.
Our Benefits & Team
  • Medical, dental, and vision insurance
  • Flexible PTO Policy
  • 401k plan
  • Paid Parental Leave
  • Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support
  • Monthly reimbursements to use against wifi and cell phone bills
  • Annual reimbursement for Learning & Development
  • Help hard working Americans build a brighter financial future
  • High-growth company
  • A dynamic, flexible and collaborative start-up work environment with a highly talented team

Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email accommodations@hellobrigit.com.
Disclosures:
  • For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.
  • Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.

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