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Computer Science Finance Jobs in Florida (NOW HIRING)

Master's degree in Data Science, Information Systems, Computer Science, Statistics, Mathematics, Economics, Finance, or related quantitative field from an accredited college or university, or ...

Degree in MIS, Computer Science, Finance, Economics, Math, or a related field * 1-2 years of experience in financial services, accounting, or a related industry * Exposure to portfolio accounting or ...

Bachelor's degree in business, information systems, computer science, finance, or a related field, or equivalent combination of education, related experience and/or military experience. Experience ...

Experience in data analytics, statistics, data science, AI, financial consulting, computer science or related field required. * Experience with APIs, web scraping, SQL/no-SQL databases, and cloud ...

Showing results 41-60

Computer Science Finance information

See Florida salary details

$18.7K

$69.2K

$101.3K

How much do computer science finance jobs pay per year?

As of Sep 8, 2026, the average yearly pay for computer science finance in Florida is $69,223.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $81,500.00 per year, depending on experience, location, and employer.

What is computer science finance?

Computer science finance is an interdisciplinary field that combines principles of computer science with finance. Professionals in this area use technology and programming to analyze financial data, develop trading algorithms, manage risk, and optimize investment strategies. Careers in computer science finance often involve roles such as quantitative analyst, financial software developer, or data scientist for investment firms, banks, or fintech companies. This field requires skills in programming (often Python, R, or C++), data analysis, and a solid understanding of financial markets and instruments.

What are finance jobs for computer science majors?

Finance jobs for computer science majors focus on the analysis of financial data, the development of finance technology (fintech) software and applications to analyze financial markets and automate equities trading, and the creation of algorithms for analysis, fraud detection, and risk management. As a data scientist or quantitative analyst, you perform your duties for an investment firm or bank. If you are a risk management analyst, you work for financial institutions or life insurance companies. A computer science major can also develop software and configure databases for finance businesses or have cybersecurity responsibilities that include protecting data and systems from hackers.

How does a professional in Computer Science Finance typically collaborate with both technical and financial teams?

Professionals in Computer Science Finance often serve as a bridge between technology and finance departments, translating financial requirements into technical solutions. They might collaborate closely with software engineers to develop financial models or automation tools, and work with analysts or traders to understand market needs and ensure technical solutions align with business goals. Effective communication is key, as they regularly participate in cross-functional meetings, manage project timelines, and provide updates to both technical and non-technical stakeholders. This role requires adaptability and the ability to explain complex concepts in accessible terms.

What are the key skills and qualifications needed to thrive in Computer Science Finance, and why are they important?

To thrive in Computer Science Finance, you need strong analytical and programming skills, a solid understanding of financial concepts, and typically a degree in computer science, finance, or a related field. Familiarity with financial modeling tools, database management systems, and programming languages like Python, R, or SQL is highly valued, along with certifications such as CFA or FRM. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for collaborating with diverse teams and interpreting complex data. These skills are crucial for developing innovative financial solutions, ensuring data integrity, and driving informed decision-making in the fast-paced finance industry.

What is the difference between Computer Science Finance vs Data Analyst?

AspectComputer Science FinanceData Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related fields; certifications like CFA or FRM beneficialBachelor's in Statistics, Economics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentFinancial institutions, tech firms, investment banks; often collaborative and fast-pacedCorporate offices, consulting firms, financial services; data-driven and analytical
Employer & Industry UsageFinance, banking, fintech, tech companiesFinance, marketing, healthcare, consulting

Computer Science Finance professionals combine technical skills with financial knowledge to develop algorithms, models, and software for financial analysis and trading. Data Analysts focus on interpreting data to inform business decisions across various industries. While both roles require analytical skills, Computer Science Finance emphasizes programming and financial expertise, whereas Data Analysts concentrate on data interpretation and reporting.

Can computer science work in finance?

Computer science professionals can work in finance by developing algorithms, managing data systems, and creating financial models. Skills in programming, data analysis, and knowledge of financial concepts are essential for roles such as quantitative analyst, financial software developer, or risk analyst.

What cities in Florida are hiring for Computer Science Finance jobs?

Cities in Florida with the most Computer Science Finance job openings:

Infographic showing various Computer Science Finance job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $69,223 per year, or $33.3 per hour.

Marketing Analytics Data Scientist

Publix

Lakeland, FL • On-site

$100 - $125/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Publix rating

6.8

Company rating: 6.8 out of 10

Based on 4,733 frontline employees who took The Breakroom Quiz

30th of 124 rated grocery stores


Job description

Marketing Analytics Data Scientist

Location: Lakeland, FL between Orlando and Tampa
Job ID: 37836BR
Department: Marketing
Pay Frequency: Monthly
Pay Range: $8,145 - $12,220
Date Posted: Jun 24, 2026

Publix is able to offer virtual/remote employment for this position in the following states: FL, GA, AL, TN, SC, NC, VA, KY

This role is responsible for developing and deploying advanced data science and machine learning solutions that drive business performance, enhance customer personalization, and optimize pricing, merchandising, and promotional strategies. The position leverages large-scale data analysis, predictive modeling, and AI-driven systems to generate insights, automate decision-making, and improve customer engagement across channels.

Additional responsibilities include:

  • Developing and implementing scalable Data Science Analytical Solutions that rely on machine learning and artificial intelligence to automate and optimize key business processes and help improve efficiency and financial results
  • Providing research-based consultation and recommendations regarding the personalization of customer interfaces with Publix
  • Contributing to the design and measurement of customer personalization programs at the Marketing channel, omni-channel, product hierarchy, and store level
  • Analyzing customer, transaction, and campaign data to identify trends and patterns in marketing campaign performance and/or customer behavior
  • Building learning systems that monitor data flows and react to changes in customer preferences, network constraints, and business objectives
  • Manipulate large datasets to discover and extract meaningful business information using data mining, statistics, and machine learning techniques
  • Developing scalable, efficient processes for large scale data analyses, model development and model implementation
  • Analyzing and troubleshooting highly complex systems for accuracy, performance improvement and integration with changes to other enterprise systems
Required Qualifications
  • Master’s degree in Data Science, Information Systems, Computer Science, Statistics, Mathematics, Economics, Finance, or related quantitative field from an accredited college or university, or equivalent experience
  • At least five (5) years of analytics, computer science, marketing, finance, or similar analytics field work-related experience
  • At least three (3) years’ experience writing SQL
  • At least five (5) years’ experience writing R code, Python, Syntax or similar functionality within other statistical tools
  • Advance knowledge in Microsoft Excel
  • Basic knowledge using Data Management Platforms(DMPs)
  • Knowledge of NoSQL databases, data lakes and formats including text, image, sentiment and audio/video
  • Expert knowledge of statistical software knowledge (i.e., SPSS, SAS) and business intelligence tools (i.e., SQL, Visual Basic, SQL Enterprise Manager)
  • Intermediate knowledge of data visualization tools (i.e., Tableau or MicroStrategy Desktop) and Python Coding
  • Ability to exhibit a natural curiosity when developing research
  • Expert knowledge in creating ETL (extract, transform, load) process and knowledge of ETL best practices
  • Basic working with large data sets and distributed computing tools like Spark
Preferred Qualifications
  • Ph.D. degree in data science, computer science, statistics, neuroscience, engineering, mathematics, or physics
  • Seven (7) or more years of relevant research related experience
  • Data Science Certificate
  • Expert knowledge of data visualization tools and Python Coding
  • Intermediate knowledge using Data Management Platforms(DMPs)
  • Basic knowledge in Alteryx and the Alteryx Server or similar Business Intelligence (BI) Tools
  • Employee stock ownership plan that contributes Publix stock to associates each year at no cost
  • An opportunity to purchase additional shares of our privately-held stock
  • 401(k) retirement savings plan
  • Group health, dental and vision plans plan
  • Paid Time Off
  • Short- and long-term disability insurance
  • Free hot lunches (buffet-style) at facilities with a cafeteria

As a year-end bonus to associates, Publix issues one month’s extra pay (pro-rated in the first year) each year if associate remains employed through issue date of the bonus check that year. This is calculated as a 13th month of pay in the Potential Annual Pay with Bonus line above.

Additional Information

For this position, Publix does not and will not file a petition or application with the USCIS or Department of State on behalf of any noncitizen for any immigration-related benefit to work and/or to continue to work in the United States, e.g., an H-1B or TN petition or permanent residence.

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