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Fintech Data Science Jobs in Georgia (NOW HIRING)

Monitise

Senior Data & ML Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way ... Partner with data scientists to productionize machine learning models, analytical features ...

Fiserv, Inc.

Senior Data & ML Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way ... Partner with data scientists to productionize machine learning models, analytical features ...

Intuit

Staff AI Scientist

Atlanta, GA · On-site

D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related ... Relevant work experience in fintech credit risk, with deep understanding of payment systems, money ...

Intuit

Staff AI Scientist

Atlanta, GA

D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related ... Relevant work experience in fintech credit risk, with deep understanding of payment systems, money ...

Intuit

Staff AI Scientist

Atlanta, GA · On-site

D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related ... Relevant work experience in fintech credit risk, with deep understanding of payment systems, money ...

Scalable Systems

AI Program Manager

Atlanta, GA · On-site

... product, data science, engineering, cloud, cybersecurity and architecture teams to deliver AI ... fintech is preferred. • PMP/Agile/Cloud/AI certifications are desirable. Scalable Systems is an ...

New

LiveMindz

AI Program Manager

Atlanta, GA · On-site

... product, data science, engineering, cloud, cybersecurity and architecture teams to deliver AI ... fintech is preferred. • PMP/Agile/Cloud/AI certifications are desirable. Skills: Program ...

New

Monitise

AI Engineer

Alpharetta, GA · On-site

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way ... Bachelor's degree or higher in Computer Science, Data Science, Statistics, Engineering ...

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All JobsFintech Data Science JobsFintech Data Science Jobs in Georgia

Fintech Data Science information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do fintech data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for fintech data science in Georgia is $103,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $114,800.00 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 Georgia?

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

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

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

What cities in Georgia are hiring for Fintech Data Science jobs?

Cities in Georgia with the most Fintech Data Science job openings:

Fintech Data Science jobs near you
Infographic showing various Fintech Data Science job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $103,638 per year, or $49.8 per hour.

Senior Data Analyst (Hybrid - Atlanta, GA)

Progressive Leasing

Atlanta, GA • On-site

$82K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Progressive Leasing rating

7.0

Company rating: 7.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. With more than 20 years in FinTech, we've grown from start-up to industry leader by innovating, simplifying, and valuing people. We are a subsidiary of PROG Holdings (NYSE: PRG), a FinTech holding company with three business segments: Progressive Leasing, Purchasing Power (a leading employee purchase program for consumer products and services using payroll deduction), and Four, a Buy Now Pay Later (BNPL) platform.
***This role is a PPC role***
We're looking for a Senior Data Analyst to provide analysis, insights, and recommendations that drive sales, marketing, pricing, and promotional strategies across the business. This role is responsible for evaluating the effectiveness and profitability of key initiatives, identifying trends and opportunities, and delivering actionable recommendations that support growth and customer engagement.
The ideal candidate brings strong analytical and technical expertise, a passion for solving business problems through data, and the ability to translate complex analyses into meaningful business insights. This position partners closely with Marketing, Merchandising, Finance, Supply Chain, Account Management, and Data Science teams to support strategic decision-making and optimize business performance.
WHAT YOU'LL WORK ON
  • Provide data-driven insights and recommendations across sales, marketing, pricing, and promotional activities
  • Analyze item-level sales performance, customer behavior, campaign effectiveness, and promotional results to identify opportunities for growth
  • Monitor daily, weekly, and monthly sales trends and communicate key business drivers to leadership
  • Develop, execute, and measure marketing and promotional tests to generate actionable business insights and evaluate incremental demand and profitability
  • Lead customer analytics initiatives, including Customer Lifetime Value (CLTV), customer acquisition, retention, segmentation, and first-time versus repeat buyer analyses
  • Build and maintain reporting dashboards and visualizations using Tableau to support business needs and decision-making
  • Develop predictive and statistical models that support customer acquisition, engagement, retention, and profitability initiatives
  • Automate manual reporting processes and identify efficiencies to improve business operations
  • Conduct ad hoc analyses and support enterprise-wide initiatives and special projects as requested by senior leadership
  • Partner with cross-functional teams to ensure data accuracy, consistency, and integrity across reporting and analytics processes
  • Translate complex data findings into compelling stories and recommendations for business stakeholders
  • Provide mentorship, cross-training, and ongoing guidance to junior analysts and offshore team members

WHAT YOU BRING
  • Hybrid - 3 days onsite
  • Bachelor's degree in Economics, Mathematics, Finance, Statistics, Analytics, or a related field
  • 5+ years of experience in data analytics, business analytics, or marketing analytics, preferably within a retail or e-commerce environment
  • 5+ years of experience utilizing SQL, SAS, or similar analytical tools to query and analyze large data sets
  • 3+ years of experience developing reporting and dashboards using Tableau or similar business intelligence tools
  • Experience with web analytics platforms such as Adobe Analytics or equivalent tools
  • Advanced Microsoft Excel skills, including complex formulas, data modeling, and large-scale data analysis
  • Strong understanding of retail, e-commerce, and marketing concepts, including customer acquisition, segmentation, direct marketing, digital advertising, and promotional strategies
  • Experience applying advanced quantitative techniques such as forecasting, attribution modeling, customer lifetime value, price elasticity analysis, simulations, and optimization models
  • Proven ability to deliver actionable insights and influence business decisions through data analysis
  • Strong analytical, problem-solving, project management, and organizational skills
  • Excellent communication skills with the ability to present technical findings to non-technical audiences
  • Ability to manage multiple priorities and projects while maintaining exceptional attention to detail
  • AI-enabled tools are already part of how work gets done across our organization, and their use will continue to expand over time. We value people who are curious, adaptable, and open to learning as roles and workflows evolve.

Preferred Qualifications
  • MBA with a concentration in Analytics, Data Science, or a related discipline
  • Experience with Python and/or R
  • Experience building predictive models and advanced statistical analyses within a retail, e-commerce, or consumer-focused organization

WHY THIS ROLE IS UNIQUE
  • We act with intensity, urgency and a passion for supporting our customers and growing our business. We strive for excellence.
  • We hold ourselves accountable and expect it of each other. We attack problems with a positive can-do attitude. We do what we say we'll do.
  • We deliver as one team, working together with integrity, respect, trust, transparency, and fun. We are better because we work here.
  • We believe our unique diversity and authenticity makes us a better company, allows us to be our best selves and is a competitive advantage.
  • We exhibit innate curiosity and creativity to innovate and reimagine how things can be done. We ask, Is there a better way?

WHAT WE OFFER
  • Comprehensive benefits: medical, dental, vision, company-paid Basic Life/AD&D
  • 401(k) Retirement Plan
  • Paid Time Off
  • Career Development
  • Employee Purchase Program

Progressive Leasing welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Progressive Leasing does business.

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