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Financial Data Scientist Jobs in Florida (NOW HIRING)

Data Scientist

Miami, FL ยท On-site

$150 - $200/hr

Apply data science and analytical methods to develop reusable models, reports, dashboards, and ... veterans of energy, finance, and government. * Debate ideas and alternatives in a truly ...

Analyst, Financial Data

Miami, FL ยท On-site

$60 - $80/hr

Bachelor's degree in Data Science, Statistics, Computer Science, Finance, Business Analytics, or a related field. * At least 1 year of professional experience in data analysis, reporting, business ...

Stay current on industry trends in machine learning, AI, Generative AI, and financial services ... data science solutions within the Payments, Banking, or Financial Services industry. * Strong ...

Stay current on industry trends in machine learning, AI, Generative AI, and financial services ... data science solutions within the Payments, Banking, or Financial Services industry. * Strong ...

Bachelor's degree in Data Science, Statistics, Computer Science, Finance, Business Analytics, or a related field. * At least 1 year of professional experience in data analysis, reporting, business ...

Company Description We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can ...

Data Scientist

Orlando, FL ยท On-site +1

Company Description We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can ...

Partner with IT, software development, laboratory operations, finance, and commercial teams to ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a ...

Data Scientist

Doral, FL

$112K - $257K/yr

Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Data Scientist

Doral, FL ยท On-site

$112K - $257K/yr

Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Data Scientist

Doral, FL ยท On-site +1

$112K - $257K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

The Data Scientist is primarily responsible for supporting/leading AI-driven initiatives that will ... Bachelor'sDegreein Mathematics, Analytics, Finance or other related field Required * Master ...

The Data Scientist is primarily responsible for supporting/leading AI-driven initiatives that will ... Bachelor's Degree in Mathematics, Analytics, Finance or other related field Required * Master ...

Partner with IT, software development, laboratory operations, finance, and commercial teams to ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a ...

Data Scientist

Cape Canaveral, FL ยท On-site

$99K - $225K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Stay current on industry trends in machine learning, AI, Generative AI, and financial services ... data science solutions within the Payments, Banking, or Financial Services industry. * Strong ...

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Showing results 1-20

Financial Data Scientist information

See Florida salary details

$28K

$91.7K

$146.8K

How much do financial data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for financial data scientist 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 does a financial data scientist do?

A Financial Data Scientist analyzes complex financial data using statistical, machine learning, and computational techniques to identify patterns, forecast trends, and support decision-making within financial institutions. They work with large datasets from sources like market data, customer transactions, and economic indicators to develop predictive models and data-driven strategies. Their work helps organizations manage risk, optimize portfolios, detect fraud, and gain a competitive edge in the financial sector.

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

To thrive as a Financial Data Scientist, you need strong quantitative skills, proficiency in statistical analysis, and a background in finance or economics, typically supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with machine learning frameworks, and knowledge of financial databases and tools like Bloomberg Terminal are also important. Critical thinking, problem-solving, and effective communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for building accurate financial models, driving data-driven decision-making, and delivering value in dynamic financial environments.

How does a financial data scientist typically collaborate with other departments within a financial organization?

Financial Data Scientists regularly work alongside cross-functional teams, including risk analysts, portfolio managers, and software engineers. They collaborate to develop predictive models, automate data pipelines, and translate complex data insights into actionable business strategies. Effective communication is key, as they must explain technical findings to stakeholders with varying levels of data literacy. This collaborative environment not only fosters innovation but also offers opportunities to learn from other experts and expand your professional network.

What is the difference between Financial Data Scientist vs Quantitative Analyst?

AspectFinancial Data ScientistQuantitative Analyst
Required CredentialsDegree in Finance, Data Science, or related fields; often certifications like CFA or FRMDegree in Mathematics, Statistics, Finance; CFA or FRM common
Work EnvironmentFinancial institutions, tech firms, investment firms; focus on data modeling and predictive analyticsInvestment banks, hedge funds, asset management; focus on trading strategies and risk modeling
Employer & Industry UsageUsed across finance and tech sectors for data-driven decision makingPrimarily in finance for trading, risk, and portfolio management

Financial Data Scientists analyze large datasets to develop predictive models and insights, often combining finance knowledge with data science skills. Quantitative Analysts focus on developing mathematical models for trading and risk management. While both roles require strong quantitative skills and finance knowledge, Financial Data Scientists tend to work more on data analysis and machine learning, whereas Quantitative Analysts focus on financial modeling and trading strategies.

What job categories do people searching Financial Data Scientist jobs in Florida look for?

The top searched job categories for Financial Data Scientist jobs in Florida are:

What cities in Florida are hiring for Financial Data Scientist jobs?

Cities in Florida with the most Financial Data Scientist job openings:

Infographic showing various Financial Data Scientist 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 Scientist

Unchain Data

Miami, FL โ€ข On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Life, PTO

Posted 5 days ago


Job description

About Hut 8

Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the world's largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one. If you're an ambitious individual looking for a career that is as rewarding as it is challenging, you've come to the right place.

The Role
  • Own or contribute to the enterprise data inventory, including priority systems, data owners, business definitions, lineage, dependencies, and quality gaps.
  • Translate business processes and stakeholder needs into data requirements, source mappings, data models, quality rules, and measurable acceptance criteria.
  • Partner with Data Operations and Software Engineering to improve ingestion, transformation, integration, monitoring, governance, and lifecycle management.
  • Prepare and maintain enterprise data for agentic workflows by supporting semantic layers, knowledge bases, metadata, retrieval indexes, data contracts, access controls, and evaluation datasets.
  • Apply data science and analytical methods to develop reusable models, reports, dashboards, and decision-support products.
  • Monitor the reliability and usefulness of data products and agentic workflows, using quality findings and user feedback to drive continuous improvement.
  • Communicate data limitations, recommendations, and business impact clearly to technical and non-technical stakeholders.
Requirements
  • Bachelor's or master's degree in data science, Statistics, Computer Science, Engineering, Business Analytics, Mathematics, or a related field.
  • 6+ years of experience in data science, enterprise data management, analytics engineering, data engineering, or a closely related discipline.
  • Strong proficiency in Python and SQL, with experience working with relational databases, data warehouses, and ETL/ELT processes.
  • Familiarity with cloud data platforms such as Snowflake or BigQuery, data modeling, data quality, and lineage concepts.
  • Understanding of machine learning and AI concepts, including large language models, natural language processing, retrieval-augmented generation, and intelligent agents.
  • Strong ability to connect business processes to data structures, analytical outputs, and practical implementation plans.
  • Clear written and verbal communication skills and the ability to work effectively across technical and business teams.
Nice to Have
  • Experience with semantic layers, ontologies, metadata management, knowledge bases, embeddings, agent evaluation, Airflow or Luigi, Tableau, Metabase, Git, CI/CD, or cloud infrastructure.
Work Environment

This role is in office at our corporate headquarters in the Brickell area of Miami, Florida. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

What Makes Hut 8 a Great Place To Work

Hut 8 offers a benefits and wellness program that includes medical, dental, vision, life, and short-term and long-term disability insurance, as well as paid time off. We are proud to invest in building the best team in the industry. At all levels of the organization, we are driven by an entrepreneurial spirit, radical transparency, and relentless growth mentality.

At Hut 8, You Will Have The Opportunity To
  • Work with bright, driven peers from a range of educational and professional backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting.
  • Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government.
  • Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep and the lessons come from both senior and junior members of the team.
  • Build a lifelong network of friends and professional connections at the cutting-edge intersection of technology, energy, and infrastructure.
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