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Entry Level Fintech Data Scientist Jobs (NOW HIRING)

asrcfh

Data Scientist

Oklahoma City, OK

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

Velera Health

Data Scientist I - Remote

$84K - $108K/yr

... and an integrated fintech solutions provider. The company serves more than 4,000 financial ... The data scientist will collect, process, and analyze large data sets to uncover trends, patterns ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

Nasdaq

Senior Data Scientist

Boston, MA · On-site

$95K - $166K/yr

As a Senior Data Science at Nasdaq, you will join a specialized team of AI researchers pushing the ... Work experience in a corporate environment or finance/fintech industry * Experience with Deep ...

Nasdaq

Senior Data Scientist

Boston, MA · Hybrid

$95K - $166K/yr

As a Senior Data Science at Nasdaq, you will join a specialized team of AI researchers pushing the ... Work experience in a corporate environment or finance/fintech industry * Experience with Deep ...

West Virginia University Health System

$60K - $61K/yr

Working alongside data scientists, ML engineers, and clinical analysts, this role applies ... This is an entry-level to early-career role for candidates who have curiosity about healthcare data ...

WVU Medicine

Associate Data Scientist

Morgantown, WV · On-site

$60K - $61K/yr

Working alongside data scientists, ML engineers, and clinical analysts, this role applies ... This is an entry-level to early-career role for candidates who have curiosity about healthcare data ...

Tech Consulting

Be Seen First

Junior Data Scientist

Miami, FL · On-site

$30 - $35/hr

Job Title: Jr. Data Scientist Location: Miami, FL Employment type ... Fulltime Duration: 2 years Exp: 1-4 years(Entry level) Educational Qualification: Master's Degree ...

ASRC Federal Holding

Data Scientist

Oklahoma City, OK · On-site

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

Uber

Product Data Scientist, Payments

San Francisco, CA · On-site +1

We are looking for a Data Scientist to join our Payments Science team and make significant ... or fintech industry.For San Francisco, CA-based roles: The base salary range for this role is USD ...

Uber

Product Data Scientist, Payments

Sunnyvale, CA · On-site +1

We are looking for a Data Scientist to join our Payments Science team and make significant ... or fintech industry.For San Francisco, CA-based roles: The base salary range for this role is USD ...

JBS USA

PEOPLE DATA SCIENTIST

Greeley, CO

People Data Scientist Purpose and Scope/General Summary: We are seeking a People Data Scientist to ... entry-level employees. The ability to relate to different types of people and understand their ...

JBS USA

PEOPLE DATA SCIENTIST

Greeley, CO

Description People Data Scientist Purpose and Scope/General Summary: We are seeking a People Data ... entry-level employees. The ability to relate to different types of people and understand their ...

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All JobsEntry Level Fintech Data Scientist Jobs

Entry Level Fintech Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do entry level fintech data scientist jobs pay per year?

As of Jun 22, 2026, the average yearly pay for entry level fintech data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by entry-level data scientists in fintech, and how can they overcome them?

Entry-level data scientists in fintech often encounter challenges such as working with highly sensitive financial data, navigating complex regulatory requirements, and keeping up with rapidly evolving technologies. It can also be daunting to translate data findings into actionable business insights for stakeholders who may not have a technical background. To overcome these challenges, it's helpful to develop strong communication skills, seek mentorship from experienced colleagues, and stay updated on industry best practices and compliance standards. Regular collaboration with cross-functional teams, such as engineering and product, is also essential for building a solid foundation and advancing in the fintech sector.

What is the difference between Entry Level Fintech Data Scientist vs Entry Level Data Analyst?

AspectEntry Level Fintech Data ScientistEntry Level Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of programming languages like Python or RBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and basic data visualization tools
Work EnvironmentFinancial technology companies, banks, or fintech startups; focus on developing predictive models and algorithmsVarious industries including finance, marketing, and healthcare; focus on data reporting and basic analysis
Employer & Industry UsageCommonly employed in fintech firms to build data-driven products and servicesWidely used across industries for business insights and reporting

In summary, an Entry Level Fintech Data Scientist typically requires programming skills and focuses on building models within fintech companies, while an Entry Level Data Analyst emphasizes data reporting and visualization across various industries. Both roles serve different analytical needs but share foundational data skills.

What are the key skills and qualifications needed to thrive as an Entry Level Fintech Data Scientist, and why are they important?

To thrive as an Entry Level Fintech Data Scientist, you need a solid background in statistics, programming (Python or R), and foundational knowledge of finance or economics, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, machine learning frameworks like scikit-learn, and experience with cloud platforms or financial databases are typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret data insights and present findings to both technical and non-technical stakeholders. These competencies are crucial for developing accurate data models and delivering actionable insights in the fast-paced fintech industry.

What does an Entry Level Fintech Data Scientist do?

An Entry Level Fintech Data Scientist works with financial data to build models, analyze trends, and help companies make data-driven decisions. They typically use programming languages like Python or R, along with statistical and machine learning techniques, to extract insights from large financial datasets. Their day-to-day tasks may include cleaning data, developing predictive models, visualizing results, and collaborating with finance and engineering teams. This role is crucial for improving financial products, detecting fraud, and optimizing business strategies in the fintech industry.
More about Entry Level Fintech Data Scientist jobs
What cities are hiring for Entry Level Fintech Data Scientist jobs? Cities with the most Entry Level Fintech Data Scientist job openings:
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Entry Level Fintech Data Scientist jobs near you
Infographic showing various Entry Level Fintech Data Scientist job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

asrcfh

Oklahoma City, OK

Other

Posted 14 days ago

Job description

ASRC Federal Advanced Research supports the Federal Aviation Administration (FAA) National Airspace System (NAS) Second Level Engineering Support (SLES) contract.

We are seeking a highly motivated Data Scientist to support the Weather Systems Group. This role contributes to the design, integration, and sustainment of mission-critical aviation weather systems supporting real-time operations across the NAS.

Responsibilities:

  • Analyze system performance, operational trends, failure data, and reliability metrics to support engineering and management decisions.
  • Perform statistical analysis, including hypothesis testing, ANOVA, regression, correlation analysis, and confidence interval estimation.
  • Conduct reliability analysis to evaluate equipment performance, failure trends, maintainability, availability, and life-cycle risk.
  • Design and evaluate experiments or comparative studies to determine whether observed differences are statistically significant.
  • Develop models and analytical methods to detect anomalies, forecast trends, and support predictive maintenance or operational decision-making.
  • Develop scripts and tools using C, C++, and Python for automation, analysis, and system configuration
  • Support full software lifecycle including requirements, development, testing, and deployment
  • Perform capacity planning and scalability assessments for distributed systems
  • Develop technical documentation, reports, and artifacts for field use
  • Lead or contribute to process improvements
  • Collaborate with government stakeholders, engineers, and field technicians

Requirements:

US Citizenship or Permanent Residency required. All applicants must have resided in the United States for the past 3 years.

On-site presence will be as required by the FAA.

  • Proficient in programming languages and scripts used in model and tool development (C, C++, Python)
  • Proficiency in Python, R, SQL, or similar data analysis languages.
  • Experience using software libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch, or similar tools.
  • Experience creating dashboards, reports, or visualizations using tools such as Power BI, Tableau, Looker, matplotlib, or similar platforms.
  • Experience with use of source control such as Git.
  • Must demonstrate initiative with minimal oversight
  • Experience working in a team environment
  • Experience authoring technical documentation and providing technical support
  • Good written and spoken communication including developing technical documentation
  • Ability to pass an FAA background investigation
  • Must be local to the OKC area or willing to relocate.  Will need to have the ability to physically access laboratory hardware when needed.
  • Must be willing to travel up to 5% of the time.

Education/Experience:

  • Bachelor’s degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field

Level 1: Entry Level

Level 2: Minimum 3 years of experience equivalent to a level 1

Level 3: Minimum 3 years of experience equivalent to a level 2

Level 4: Minimum 3 years of experience equivalent to a level 3

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