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Fintech Data Science Jobs in Florida (NOW HIRING)

ITrade STEM

Lead Backend Engineer

Miami, FL · Remote

Our client is a well-funded Web3 fintech startup redefining the future of real-time financial ... Collaborate with smart contract developers, frontend engineers, and data scientists to ship ...

FIS

Senior IP Counsel

Jacksonville, FL · On-site

$129K - $175K/yr

Identify patentable inventions through close collaboration with engineering, R&D, data science, and ... Opportunities to innovate in fintech Tools for personal and professional growth Inclusive and ...

Worldpay, Inc.

Senior IP Counsel

Jacksonville, FL · On-site

$129K - $175K/yr

Identify patentable inventions through close collaboration with engineering, R&D, data science, and ... Opportunities to innovate in fintech Tools for personal and professional growth Inclusive and ...

Octagon Talent

Lead Backend Engineer

Miami, FL · Remote

Our client is a well-funded Web3 fintech startup redefining the future of real-time financial ... data scientists to ship features end-to-end. The Tech Stack You'll be working with bleeding-edge ...

ITrade STEM

Lead Backend Engineer

Miami, FL · On-site

Our client is a well-funded Web3 fintech startup redefining the future of real-time financial ... data scientists to ship features end-to-end. The Tech Stack You'll be working with bleeding-edge ...

Qfanalytics

Azure DevOps Engineer

Miami, FL · On-site

$90 - $120/hr

QF Analytics LLC is a fintech company that develops and supports one of the world's fastest-growing ... Responsibilities Interface with data scientist, front-end developers, and dB administrators to ...

AgileEngine

Senior Data Engineer ID75059

Tampa, FL · On-site

$100K - $136K/yr

... science/engineering or other technical field, or equivalent experience; - 5+ years of experience ... NICE TO HAVES - Familiarity with the fintech industry, understanding of financial data, regulatory ...

AgileEngine

Senior Data Engineer ID75059

Tallahassee, FL · On-site

$100K - $136K/yr

... science/engineering or other technical field, or equivalent experience; - 5+ years of experience ... NICE TO HAVES - Familiarity with the fintech industry, understanding of financial data, regulatory ...

AgileEngine

Senior Data Engineer ID75059

Miami, FL · On-site

$101K - $137K/yr

... science/engineering or other technical field, or equivalent experience; - 5+ years of experience ... NICE TO HAVES - Familiarity with the fintech industry, understanding of financial data, regulatory ...

AgileEngine

Senior Data Engineer ID75059

Jacksonville, FL · On-site

$99K - $135K/yr

... science/engineering or other technical field, or equivalent experience; - 5+ years of experience ... NICE TO HAVES - Familiarity with the fintech industry, understanding of financial data, regulatory ...

Jobtailor

Senior Business Analyst

Miami, FL · On-site

$90 - $130/hr

Bachelor's degree in Business, Finance, Computer Science, or related field * 5+ years of Business ... Nice to have: understanding of APIs, microservices, cloud integration, and database data mapping

New

Alegeus

Applied AI Engineer, Internal Tools

Maitland, FL · Hybrid

$104K - $177K/yr

Do you want to shape the future of fintech and healthtech? Energized by challenges and inspired by ... Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Analytics ...

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All JobsFintech Data Science JobsFintech Data Science Jobs in Florida

Fintech Data Science information

See Florida salary details

$28K

$91.7K

$146.8K

How much do fintech data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for fintech data science in Florida is $91,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $101,600.00 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.

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

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.

How do fintech data scientists 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 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.

Is data science good for fintech?

Data science is highly valuable in fintech, as it enables the development of algorithms for risk assessment, fraud detection, and personalized financial services. Fintech companies often rely on data analysis, machine learning, and statistical modeling to improve decision-making and customer experience. Skills in programming, data manipulation, and financial knowledge are essential for data scientists in this field.

Is fintech data science a high paying career?

Fintech data science is generally a high-paying career due to the demand for advanced analytics and machine learning skills in financial technology companies. Salaries often depend on experience, education, and technical expertise in tools like Python, R, and SQL, with senior roles earning significantly more. The field offers competitive compensation compared to many other data science roles across industries.

What are popular job titles related to Fintech Data Science jobs in Florida?

For Fintech Data Science jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Fintech Data Science jobs in Florida look for?

The top searched job categories for Fintech Data Science jobs in Florida are:

Fintech Data Science jobs near you
Infographic showing various Fintech Data Science job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $91,721 per year, or $44.1 per hour.

Managed Care Program Analyst

Acrisure

Fort Lauderdale, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Acrisure rating

7.5

Company rating: 7.5 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

226th of 311 rated insurance

Job description

About Acrisure
A global fintech leader, Acrisure empowers millions of ambitious businesses and individuals with the right solutions to grow boldly forward. Bringing cutting-edge technology and top-tier human support together, we connect clients with customized solutions across a range of insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services, and more.
In the last twelve years, Acrisure has grown in revenue from $38 million to almost $5 billion and employs over 19,000 colleagues in more than 20 countries. Acrisure was built on entrepreneurial spirit. Prioritizing leadership, accountability, and collaboration, we equip our teams to work at the highest levels possible.
Job summary:
Acrisure is seeking a Managed Care Program Analyst to design and develop business intelligence solutions that transform complex data into actionable insights. This role is responsible for building dashboards from the ground up, writing SQL queries, developing executive-level reporting, and delivering meaningful analytics that help leadership evaluate program performance, manage claims costs, and identify opportunities to improve operational outcomes.
Working closely with leadership and business stakeholders, the Managed Care Program Analyst will translate business questions into scalable reporting solutions and interactive dashboards. This individual will identify trends, uncover opportunities, and present data in a way that supports strategic decision-making across the organization.
This position is ideal for someone who enjoys solving complex analytical problems, building reporting solutions from scratch, and using data to influence business decisions. While experience within insurance, healthcare, managed care, or claims is beneficial, the strongest candidates will bring exceptional business intelligence, data visualization, and SQL development skills.
Responsibilities:
  • Design, build, and maintain interactive dashboards and reporting solutions using Tableau, Microsoft Power BI, or similar business intelligence platforms
  • Write SQL queries to extract, validate, and analyze data from multiple data sources
  • Translate business requirements into dashboards, reports, and visualizations that support strategic decision-making
  • Perform complex analysis of claims, managed care, and operational data to identify trends, patterns, and opportunities for improvement
  • Develop executive-level reporting that communicates key performance indicators and actionable business insights
  • Analyze claim costs, program performance, provider utilization, and operational metrics to support business planning and continuous improvement
  • Partner with leadership and internal stakeholders to define reporting needs and develop scalable analytical solutions
  • Validate data accuracy and ensure the integrity of dashboards, reports, and analytical models
  • Present findings and recommendations to business leaders in a clear and meaningful manner
  • Support ongoing managed care initiatives through advanced reporting, analytics, and performance measurement
  • Perform additional duties and projects as assigned
Requirements:
  • Experience designing and developing dashboards from scratch using Tableau or Microsoft Power BI
  • Experience writing SQL queries and working directly with relational databases
  • Demonstrated experience translating business requirements into dashboards, reports, and business intelligence solutions
  • Experience performing complex analysis of large data sets and delivering actionable business recommendations
  • Strong understanding of data visualization principles, KPI development, and business intelligence best practices
  • Experience with SAS, SAS Visual Analytics, or similar analytics platforms highly beneficial
  • Advanced analytical, statistical, and problem-solving skills with the ability to identify trends and opportunities within complex data
  • Experience working with insurance, healthcare, managed care, workers' compensation, or claims data beneficial
  • Excellent communication skills with the ability to present technical findings to non-technical audiences
  • Proficiency with Microsoft Excel and PowerPoint required
Education and licenses:
  • Bachelor's degree in Business Analytics, Data Analytics, Statistics, Computer Science, Business, Finance, Mathematics, or a related field required
  • Master's degree in Analytics, Data Science, Business Analytics, Statistics, Business Administration, or a related discipline highly beneficial

Candidates should be comfortable with an on-site presence to support collaboration, team leadership, and cross-functional partnership.
Why Join Us:
At Acrisure, we're building more than a business, we're building a community where people can grow, thrive, and make an impact. Our benefits are designed to support every dimension of your life, from your health and finances to your family and future.
Making a lasting impact on the communities it serves, Acrisure has pledged more than $22 million through its partnerships with Corewell Health Helen DeVos Children's Hospital in Grand Rapids, Michigan, UPMC Children's Hospital in Pittsburgh, Pennsylvania and Blythedale Children's Hospital in Valhalla, New York.
Employee Benefits
We also offer our employees a comprehensive suite of benefits and perks, including:
  • Physical Wellness: Comprehensive medical insurance, dental insurance, and vision insurance; life and disability insurance; fertility benefits; wellness resources; and paid sick time.
  • Mental Wellness: Generous paid time off and holidays; Employee Assistance Program (EAP); and a complimentary Calm app subscription.
  • Financial Wellness: Immediate vesting in a 401(k) plan; Health Savings Account (HSA) and Flexible Spending Account (FSA) options; commuter benefits; and employee discount programs.
  • Family Care: Paid maternity leave and paid paternity leave (including for adoptive parents); legal plan options; and pet insurance coverage.
  • ... and so much more!

This list is not exhaustive of all available benefits. Eligibility and waiting periods may apply to certain offerings. Benefits may vary based on subsidiary entity and geographic location.
Acrisure is an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status. Applicants may request reasonable accommodation by contacting leaves@acrisure.com.
Final candidates will be required to complete post-offer verification processes related to the role and in accordance with applicable laws.
California Residents: Learn more about our privacy practices for applicants by visiting the Acrisure California Applicant Privacy Policy.
Recruitment Fraud: Please visit here to learn more about our Recruitment Fraud Notice.
Welcome, your new opportunity awaits you.

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