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Entry Level Fintech Data Scientist Jobs (NOW HIRING)

DeFiner Inc

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

Cacheflow

Enterprise Data Scientist

San Francisco, CA · On-site

$160 - $260/hr

A FinTech Unicorn Powering Financial Progress with AI At Kikoff, our mission is to provide ... As a Data Scientist at Kikoff, you work closely with cross functional teams incl. Product ...

Concord Advice

Data Scientist - Intern

Florham Park, NJ · On-site

$40K - $70K/yr

Data Scientist Intern -- Concord AdviceSummary Concord Advice is a dynamic fintech company headquartered in the New Jersey area, specializing in delivering cutting-edge analytical and technical ...

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 ...

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 ...

TEKsystems c/o Allegis Group

Data Scientist

Westbrook, ME · On-site

$48/hr

... data scientist Partner with senior team members to understand requirements, explore data, and ... Entry Level Job Type & Location This is a Contract position based out of Westbrook, ME. Pay and ...

New

TEKsystems

Data Scientist

Westbrook, ME

$48/hr

... data for medical, diagnostic or life sciences applications Experience Level ... Entry Level Job Type & Location This is a Contract position based out of Westbrook, ME. Pay and ...

New

TEKsystems

Data Scientist

Westbrook, ME

$48/hr

... data for medical, diagnostic or life sciences applications Experience Level ... Entry Level Job Type & Location This is a Contract position based out of Westbrook, ME. Pay and ...

New

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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 Aug 23, 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 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.

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 are some common challenges faced by entry level fintech data scientists, 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.

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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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Entry Level Data Scientist

DeFiner Inc

Full-time

Re-posted 10 days ago

Job description

Job Description
  • Work closely with engineering and marketing teams to identify and answer important product questions to drive business growth.
  • Create machine learning solutions for a diverse set of business problems.
  • Employ structured approaches to leveraging large data sets to uncover new insights.
  • Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions.
  • Present and defend results to leadership audiences, both technical and non-technical.
  • Our team philosophy encourages knowledge sharing so you will contribute to the research community through technical papers and presentations published both internally and externally.
Tech Stack
  • SQL
  • Python
  • Jupyter Notebook
  • (Optional) R script
Experience & Qualifications
  • Passion in modern technology and ability to work in a start-up environment.
  • Efficient on Jupyter Notebook
  • Good mathematic and algorithm background
  • Strong influencing skills essential. Capable of assertively interacting with business stakeholders and counterparts in order to resolve day to day issues.
  • Highly organized individual with attention to detail and excellent ability to execute on deliverables.
Employment Type: FULL_TIME

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