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Fintech Data Science Jobs in Raleigh, NC (NOW HIRING)

Work you'll do/Responsibilities Perform analytics using data science techniques; work with the ... fintech domain. * Ability to understand ambiguous and complex problems and design and execute ...

Data Engineer ETL

Durham, NC · On-site

$110K - $132K/yr

Required Qualifications Bachelor's degree in Computer Science, Information Systems, or a related ... Experience working with financial services or FinTech data platforms. Passion for continuous ...

Work you'll do/Responsibilities Perform analytics using data science techniques; work with the ... fintech domain. * Ability to understand ambiguous and complex problems and design and execute ...

... data to strengthen their portfolio. Abrigo is seeking an IT Assurance Specialist to join our ... Degree in Information Systems, Cybersecurity, Accounting, Computer Science, Business Administration ...

We sit at the intersection of fintech innovation and retirement planning, helping clients invest in ... Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent ...

We sit at the intersection of fintech innovation and retirement planning, helping clients invest in ... Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent ...

We sit at the intersection of fintech innovation and retirement planning, helping clients invest in ... Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent ...

We sit at the intersection of fintech innovation and retirement planning, helping clients invest in ... Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent ...

We sit at the intersection of fintech innovation and retirement planning, helping clients invest in ... Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent ...

We sit at the intersection of fintech innovation and retirement planning, helping clients invest in ... Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent ...

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Showing results 1-20

Fintech Data Science information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do fintech data science jobs pay per year?

As of Jul 21, 2026, the average yearly pay for fintech data science in Raleigh, NC is $119,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $132,200.00 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.

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 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.

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.

Infographic showing various Fintech Data Science job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $119,305 per year, or $57.4 per hour.
Sr. Data Scientist

Sr. Data Scientist

Deloitte

Raleigh, NC • Hybrid

Other

Posted 18 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services


Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Work you'll do/Responsibilities  

Perform analytics using data science techniques; work with the business stakeholders; tell stories from data.

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.

Qualifications

Required

  • 6+ years of demonstrated experience in an Analytics and Strategy role.
  • Strong business acumen and the ability to think strategically and operationally.
  • Be a self-starter, driven, accountable and a high-energy team player.
  • Proven experience being a thought partner to cross-functional business teams offering actionable data insights and recommendations.
  • Demonstrated ability to influence without authority.
  • Excellent communication skills-able to distill complex analysis into simple, compelling narratives. Background in consulting or customer-facing, fast-paced analytical environment.
  • Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation.
  • Knowledge of and experience in leveraging Applied Statistical/ML techniques.
  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Hybrid role - On-site Tur/Wed/Thu

Preferred

  • 6+ years of demonstrated experience in an Analytics and Strategy role, preferably in the payments/fintech domain.
  • Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
  • Track record of leading organization-wide strategic initiatives or transformative analytics projects.
  • Master's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.


Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Work you'll do/Responsibilities  

Perform analytics using data science techniques; work with the business stakeholders; tell stories from data.

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.

Qualifications

Required

  • 6+ years of demonstrated experience in an Analytics and Strategy role.
  • Strong business acumen and the ability to think strategically and operationally.
  • Be a self-starter, driven, accountable and a high-energy team player.
  • Proven experience being a thought partner to cross-functional business teams offering actionable data insights and recommendations.
  • Demonstrated ability to influence without authority.
  • Excellent communication skills-able to distill complex analysis into simple, compelling narratives. Background in consulting or customer-facing, fast-paced analytical environment.
  • Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation.
  • Knowledge of and experience in leveraging Applied Statistical/ML techniques.
  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Hybrid role - On-site Tur/Wed/Thu

Preferred

  • 6+ years of demonstrated experience in an Analytics and Strategy role, preferably in the payments/fintech domain.
  • Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
  • Track record of leading organization-wide strategic initiatives or transformative analytics projects.
  • Master's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.


Education:Bachelor's DegreeEmployment Type:

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