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Fintech Data Science Jobs in Atlanta, GA (NOW HIRING)

Coordinate across business, product, data science, engineering, cloud, cybersecurity and ... Experience in financial services, payments or fintech is preferred. * PMP/Agile/Cloud/AI ...

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way ... Create AI agents using Azure Semantic Kernel and partner with data science and data engineering ...

Senior Credit Risk Analyst

Atlanta, GA ยท On-site

$110 - $140/hr

... fintech, lending, or commercial credit * Proven understanding of credit underwriting principles, data science model application, risk appetite frameworks, and portfolio risk management. * Outstanding ...

Senior Credit Risk Analyst

Atlanta, GA ยท On-site

$90 - $130/hr

... fintech, lending, or commercial credit * Proven understanding of credit underwriting principles, data science model application, risk appetite frameworks, and portfolio risk management. * Outstanding ...

... fintech, lending, or commercial credit * Proven understanding of credit underwriting principles, data science model application, risk appetite frameworks, and portfolio risk management. * Outstanding ...

A.I. Transformation Lead

Alpharetta, GA ยท 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 ...

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 ...

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way ... Partner with Product, Data Science, and Business stakeholders to deliver personalization ...

Director of Pricing

Atlanta, GA ยท On-site

$180 - $260/hr

Collaborate closely with Finance, Sales, Data Science, and Product teams to align pricing strategy ... FinTech, BNPL, Credit Cards, or Installment Lending) is essential. * Education: Bachelor's degree ...

Director of Pricing

Atlanta, GA ยท On-site

$120 - $160/hr

Collaborate closely with Finance, Sales, Data Science, and Product teams to align pricing strategy ... FinTech, BNPL, Credit Cards, or Installment Lending) is essential. * Education: Bachelor's degree ...

Credit Risk Lead

Atlanta, GA ยท On-site

$100 - $130/hr

... fintech, lending, or commercial credit * Strong understanding of credit underwriting principles, data science model application, risk appetite frameworks, and portfolio risk management. * Outstanding ...

... Data Science/Analytics, Security, and Marketing from early concept through launch. * Advise on ... Experience supporting tax, fintech/money movement, lending-adjacent products, or other regulated ...

... Data Science/Analytics, Security, and Marketing from early concept through launch. * Advise on ... Experience supporting tax, fintech/money movement, lending-adjacent products, or other regulated ...

Showing results 41-60

Fintech Data Science information

See Atlanta, GA salary details

$36.1K

$118K

$189K

How much do fintech data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for fintech data science in Atlanta, GA is $118,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,800.00 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.
Infographic showing various Fintech Data Science job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,028 per year, or $56.7 per hour.

AI Program Manager

Prophecy Technologies

Atlanta, GA โ€ข On-site

Full-time

Posted 5 days ago


Job description

Role Overview:
This role involves leading the end-to-end delivery of enterprise AI, Generative AI, and Machine Learning programs, from initial use-case identification through to production implementation. The AI Program Manager will develop and manage the program roadmap, coordinate across various technical and business teams, and drive AI/ML initiatives aligned with business objectives.
Key Responsibilities:
  • Lead end-to-end delivery of enterprise AI, Generative AI and Machine Learning programs, from use-case identification through production implementation.
  • Develop and manage the AI program roadmap, priorities, milestones, dependencies, risks and deliverables.
  • Coordinate across business, product, data science, engineering, cloud, cybersecurity and architecture teams to deliver AI initiatives.
  • Drive GenAI/LLM, Agentic AI, intelligent automation and AI/ML initiatives aligned with business objectives.
  • Establish governance for Responsible AI, data privacy, security, model risk and regulatory compliance.
  • Manage AI pilots/POCs and facilitate their transition into scalable production solutions.
  • Track program KPIs including business value, productivity improvement, cost savings, adoption and time-to-value.
  • Manage customer and senior executive stakeholders, providing clear visibility into progress, risks, dependencies and business outcomes.
  • Drive adoption, change management and continuous improvement across AI programs.

Required Skills:
  • Program Management
  • AI & Gen AI - Products & Tools
  • AI for Leadership
  • Strong understanding of AI/ML, Generative AI, LLMs, Agentic AI and cloud-based AI solutions.
  • Experience managing complex, cross-functional programs in an enterprise/customer environment.
  • Strong knowledge of Agile delivery, program governance, risk management and stakeholder management.
  • Excellent customer-facing, executive communication and leadership skills.

Qualifications:
  • 10+ years of experience in IT/program management, including experience leading large transformation programs.

Preferred Skills:
  • Experience in financial services, payments or fintech is preferred.
  • PMP/Agile/Cloud/AI certifications are desirable.