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Fintech Data Science Jobs in Florida (NOW HIRING)

Fintech

Data Engineer - Databricks

Tampa, FL · On-site

$108.20K - $129.90K/yr

Bachelor's/Master's in Computer Science, Data Engineering, Statistics, or related field. 5+ years ... Fintech, a pioneering accounts payable (AP) automation solutions provider, has dedicated nearly 35 ...

Fintech

Data Engineer - Databricks

Tampa, FL · Hybrid

$108.20K - $129.90K/yr

Bachelor's/Master's in Computer Science, Data Engineering, Statistics, or related field. 5+ years ... Fintech, a pioneering accounts payable (AP) automation solutions provider, has dedicated nearly 35 ...

Fintech

Data Engineer - AI/ML

Tampa, FL · Hybrid

$108.20K - $129.90K/yr

Bachelor's/Master's in Computer Science, Data Engineering, Statistics, or related field. 5+ years ... Fintech, a pioneering accounts payable (AP) automation solutions provider, has dedicated nearly 35 ...

Socure

$180K - $210K/yr

... data science, machine learning, or related fields, ideally in a high-growth tech or fintech ... environment. * Experience in fraud prevention, risk modeling, or identity verification. * Years of ...

Socure

Staff Data Scientist - RiskOS

Miami, FL · On-site

$175K - $205K/yr

Partner with platform and engineering teams to define and build core RiskOS data science ... financial data in regulated fintech and public‑sector environments. * Contribute to ...

Fintech

Implementation Solutions Analyst

Tampa, FL

Bachelor's degree in MIS, Computer Science, Engineering, a related technical field, or equivalent ... data using AI, seamless integration capabilities, and proprietary automation technology. Fintech is ...

Fintech

Implementation Solutions Analyst

Tampa, FL · On-site

Bachelor's degree in MIS, Computer Science, Engineering, a related technical field, or equivalent ... data using AI, seamless integration capabilities, and proprietary automation technology. Fintech is ...

Fintech

Implementation Solutions Analyst

Tampa, FL · On-site

Required : • Bachelor's degree in MIS, Computer Science, Engineering, a related technical field ... Fintech is a provider of payment and data solution for the alcohol industry. Founded in 1992, the ...

OpenFX

Analytics Lead

Miami, FL · On-site

... data science roles. * Strong programming skills in Python and SQL. * Experience with modern data ... Experience in a fintech or financial services environment. * Direct experience with crypto ...

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Fintech Data Science information

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$28K

$91.7K

$146.8K

How much do fintech data science jobs pay per year?

As of May 31, 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 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.

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 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 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.

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 May 2026, with employment types broken down into 1% As Needed, 94% Full Time, 1% Temporary, and 4% Contract. Highlights an 5% Physical, 20% Hybrid, and 75% Remote job distribution, with an average salary of $91,721 per year, or $44.1 per hour.
Data Engineer - Databricks

Data Engineer - Databricks

Fintech

Tampa, FL • On-site

$108.20K - $129.90K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

This position is Hybrid in Tampa, FL.
We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine learning solutions, and operationalize intelligent analytics to drive decision-making across the organization. The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI.
Key Responsibilities
Project Responsibility: End-to-end data pipelines and integrations
Technical Competencies:
  • Advanced SQL optimization and complex query design
  • Kafka streaming applications and connector development
  • Databricks workflow development with medallion architecture
  • Data governance implementation and compliance
  • Performance tuning for large-scale data processing
  • Data security and privacy best practices
  • Apache NiFi pipeline development for invoice and PO processing
  • Integration with purpose-built data stores (Druid, MongoDB, OpenSearch, Postgres)
  • Build and maintain end-to-end ML pipelines for training, deployment, and monitoring of models.
  • Design and optimize data architectures for large-scale ML workloads
  • Explore and implement LLM-based solutions, RAG architectures, and generative AI for business use cases.

Soft Skills:
  • Cross-functional collaboration with product and engineering teams
  • Technical mentoring for junior data engineers
  • Analytical thinking for complex data problems
  • Stakeholder communication for data requirements
  • Process improvement and efficiency focus
  • Quality mindset for data accuracy and reliability Vendor Management:
  • Direct communication with data platform vendors
  • Evaluates vendor tools for specific data use cases
  • Provides technical feedback on vendor product roadmaps
  • Coordinates with vendors for data integration projects

Qualifications:
Bachelor's/Master's in Computer Science, Data Engineering, Statistics, or related field.
5+ years in data engineering; 2+ years applying ML in production.
Our Benefits:
  • Hybrid Work
  • Employer Matched 401K
  • Company Paid Medical Insurance Option for Employee and Dependent Children
  • Company Paid Dental Insurance for Employee
  • Company Paid Vision Insurance for Employee
  • Company Paid Long and Short-Term Disability
  • Company Paid Life and AD&D Insurance
  • 18 Paid Vacation Days a Year
  • Six Paid Holidays
  • Employee Recognition Programs
  • Holiday Bonus
  • Incentive Compensation
  • Community Outreach Opportunities
  • Business Casual Dress Code

About Fintech:
Fintech, a pioneering accounts payable (AP) automation solutions provider, has dedicated nearly 35 years to automating invoice processing between retail and hospitality businesses, and their supply chain partners. Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this sector. Its flagship product, PaymentSource®, was first built for the alcohol industry to provide invoice payment automation between alcohol distributors and their customers across all 50 states. Today, it is utilized by over 267,000 businesses nationwide for invoice payment and collection associated with all B2B business transactions. This proven platform automates invoice payment, streamlines payment collection, and facilitates comprehensive data capture for over 1.1 million business relationships. Recognizing operational hurdles, Fintech expanded its payment capabilities to include scan-based trading/consignment selling for its vendors and retailers and built an advanced CRM tool with functionality to fortify vendor, supplier, and distributor field execution, addressing diverse profit center challenges. For more information about Fintech and its range of solutions, please visit www.fintech.com.
Fintech is a Drug-Free Workplace. Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech's management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment. We E-Verify.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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