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Fintech Data Science Jobs in Florida (NOW HIRING)

NationsBenefits, LLC

Data Engineer I

Plantation, FL

$113K - $136K/yr

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and ... Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering ...

NationsBenefits, LLC

Data Engineer II

Plantation, FL · On-site

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and ... Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

NationsBenefits

Data Engineer II

Plantation, FL · On-site

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and ... Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

NationsBenefits, LLC

Data Engineer II

Plantation, FL · On-site

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and ... Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Monitise

A.I. Transformation Lead

Coral Springs, FL · On-site

$141K - $225K/yr

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way ... Bachelor's degree in computer science, Data Science, Artificial Intelligence, Machine Learning, or ...

Monitise

Cyber Threat Hunter

Coral Springs, FL · On-site

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way ... data science, and AI-enabled development workflows. You will partner closely with detection ...

Framework Ventures

$120 - $190/hr

Bachelor's degree in Finance, Economics, Computer/Data Science, Statistics, or related field (or ... Python, SQL or R skills for automating data integration and analysis across the fintech stack

Luma Financial Technologies, LLC

AI/ML Engineer

Miami, FL · On-site

$100 - $130/hr

Founded in 2018, Luma Financial Technologies ("Luma") has pioneered a cutting‑edge fintech ... Advanced degree (Master's or PhD) in Computer Science, Data Science, Machine Learning, or a related ...

Socure

Senior Solution Consultant - Pre-Sales

Miami, FL · On-site

... Sales and Data Science • Deliver compelling product demonstrations and articulate complex ... fintech, gaming, or wireless • Comfort translating technical concepts into business value for C ...

Circle

Director, USDC Application Product

Tampa, FL · On-site +1

$220K - $230K/yr

Partner with Marketing and Data Science on attribution, referral/viral mechanics, and paid/organic ... Experience in fintech, payments, wallets, or consumer finance products * Familiarity with crypto ...

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Showing results 21-40

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.

Data Engineer I

NationsBenefits, LLC

Plantation, FL

$113K - $136K/yr

Full-time

Medical

Posted 26 days ago

NationsBenefits rating

6.6

Company rating: 6.6 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

318th of 495 rated business services

Job description

NationsBenefits is recognized as one of the fastest-growing companies in America and a Healthcare Fintech provider of supplemental benefits, flex cards, and member engagement solutions. We partner with managed care organizations to provide innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and bring value to their members.

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and member engagement solutions, we help health plans deliver high-quality benefits to their members that address the social determinants of health and improve member health outcomes and satisfaction.

Our compliance-focused infrastructure, proprietary technology systems, and premier service delivery model allow our health plan partners to deliver high-quality, value-based care to millions of members.

We offer a fulfilling work environment that attracts top talent and encourages all associates to contribute to delivering premier service to internal and external customers alike. Our goal is to transform the healthcare industry for the better! We provide career advancement opportunities from within the organization across multiple locations in the US, South America, and India.

Location: Plantation, Florida (Onsite)
Role:
DATA ENGINEER I

The Technology & Data team is seeking a Data Engineer I to support the development, maintenance, and optimization of enterprise data solutions within a healthcare environment. This role will work closely with senior engineers, analysts, and business stakeholders to build and support data pipelines, data integrations, and reporting solutions. The ideal candidate has foundational experience with Databricks, SQL, SQL Server, SSIS, PL/SQL, and healthcare data.

Key Responsibilities

Support the design, development, and maintenance of ETL/ELT data pipelines using Databricks and SQL technologies.

Assist with data ingestion, transformation, and integration processes across enterprise systems.

Develop and maintain SQL queries, stored procedures, views, and database objects.

Support the development and maintenance of SSIS packages and data integration workflows.

Work with Databricks and Apache Spark to process and transform data.

Troubleshoot data quality issues and assist with production support activities.

Collaborate with business users, analysts, and engineering teams to deliver data solutions.

Create and maintain technical documentation and process documentation.

Support data governance, data quality, and HIPAA compliance initiatives.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.

0-3 years of experience in Data Engineering, Data Warehousing, Database Development, or a related field.

Working knowledge of Databricks and Apache Spark.

Strong SQL skills with the ability to write and troubleshoot complex queries.

Experience with Microsoft SQL Server.

Exposure to SSIS and PL/SQL development.

Understanding of ETL/ELT concepts and data integration processes.

Strong analytical and problem-solving skills.

Excellent communication and teamwork skills.

Preferred Qualifications

Healthcare industry experience working with claims, provider, member, clinical, or operational data.

Experience with Python or PySpark.

Knowledge of data warehousing and dimensional modeling concepts.

Familiarity with HL7, FHIR, ICD-10, or CPT is a plus.

Databricks certification or related training is a plus.

Technical Skills

Databricks

Apache Spark

SQL

Microsoft SQL Server

SSIS

PL/SQL

ETL/ELT Development

Data Warehousing Concepts

Healthcare Data (Preferred)

Python (Preferred)

PySpark (Preferred)
NationsBenefits is an Equal Opportunity Employer.

Employment Type: FULL_TIME

What NationsBenefits employees say

Pay

Benefits

Hours and flexibility

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