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Entry Level Fintech Data Scientist Jobs (NOW HIRING)

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, and Data analysts/Data Scientists. We welcome candidates with all visas and citizens to apply.

Experience with data science methods related to data architecture, data cleaning, data and feature ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

Experience with data science methods related to data architecture, data cleaning, data and feature ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, and Data analysts/Data Scientists. We welcome candidates with all visas and citizens to apply.

We are seeking a Data Scientist for this entry-level role. You will work to support the team in building ML-powered analyses and products that shape business strategy, optimize content, inform ...

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Scientists, and Machine Learning engineers. Who Should Apply:

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Scientists, and Machine Learning engineers. Who Should Apply:

Summary Concord Advice is a dynamic fintech company headquartered in the NYC area, specializing in ... Familiarity with Azure cloud platform and experience using Azure services to support data science ...

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 ...

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 ...

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 ...

... 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 ...

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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 Sep 13, 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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Infographic showing various Entry Level Fintech Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist, Entry Level

West Mifflin, PA • On-site

$70K - $108K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Naval Nuclear Laboratory rating

9.1

Company rating: 9.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Job Description The Digital Strategic Development unit is seeking a highly motivated Data Scientist to join the Digital Strategic Development team. This team is responsible for leading the development and deployment of innovative solutions for existing and future instrumentation and control (I&C) systems on US Navy aircraft carriers and submarines. Specific areas of interest include incorporating artificial intelligence and machine learning, model-based engineering, and automation into existing processes. The successful candidate will work with multi-disciplined teams to: • Implement innovative, data driven solutions to improve development of I&C systems • Support the integration of AI/ML models into software applications and processes • Consult on AI/ML use case best practices and future needs • Support preparation of justifications, specifications, and plans to support project execution, including procurement activities • Apply new analysis methods, technologies, and/or concepts • Develop process controls and procedures • Assume the coordination responsibilities for assigned technical projects Required Combination of Knowledge and Skill Bachelors degree from an accredited college or university in a related engineering or science field; or Masters degree from an accredited college or university in a related engineering or science field. Preferred Skills Preffered degrees of Data Science or Computer Engineering areas Programming experience in Python and/or C++ Working knowledge of on-premises solutions Experience with agentic LLM frameworks and MCP servers for integrating AI agents. Experience applying AI/ML capabilities to improve existing processes, weighing potential risks and mitigations Experience building or maintaining CI/CD pipelines Experience using large language models and other AI applications Working knowledge of DevSecOps principles Working knowledge of cybersecurity principles, with a preference to applying cybersecurity to AI/ML Strong verbal and written communication skills Strong attention to detail and organizational skills Experience with technical writing Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance 401(k) Savings program & Capital Accumulation Plan Personal & Medical Time Off Paid Parental Leave Flexible Work Schedules Tuition Assistance for Eligible Employees Student Debt Benefit Personal Time Off Sell Program Employee Assistance Program (EAP) Wellness Program Visit us online to view all NNL benefits! Pay Range $70,900.00 - $108,500.00 annually Salary information provided is a general guideline only. Annual salary is based upon candidate experience and qualifications, as well as market and business considerations. The Naval Nuclear Laboratory is operated for the U.S. Department of Energy (DOE) by Fluor Marine Propulsion, LLC (FMP), a wholly owned subsidiary of Fluor Corporation. Naval Nuclear Laboratory personnel are FMP employees who work at four DOE facilities: Bettis Atomic Power Laboratory, Knolls Atomic Power Laboratory, Kenneth A. Kesselring Site, and Naval Reactors Facility, and at the U.S. Department of Defense-owned Nuclear Power Training Unit-Charleston. FMP employees also have an established presence at numerous shipyards and vendor locations. For nearly 70 years, the Naval Nuclear Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to ensure the safe and reliable operation of our nation's submarine and aircraft carrier Fleets. The Naval Nuclear Laboratory is a national asset solely dedicated to the Naval Nuclear Propulsion Program. We rely on the dedication and innovation of our nearly 8000 engineers, scientists, technicians, and support personnel. All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law.

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