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Entry Level Fintech Data Scientist Jobs (NOW HIRING)

Triumph

Data Scientist

San Francisco, CA · On-site

Preferred : • Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. • Prior experience as a quantitative ...

Achieve

Data Scientist (AHL)

Tempe, AZ

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S ... As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ...

Achieve

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S ... As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ...

Achieve

Data Scientist (AHL)

Tempe, AZ

$140K - $160K/yr

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S ... As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ...

Achieve

Data Scientist (AHL)

San Mateo, CA · On-site

$140K - $160K/yr

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S ... As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ...

Achieve

Data Scientist (AHL)

San Mateo, CA

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S ... As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ...

Achieve

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S ... As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ...

NinjaHoldings

Data Scientist

They are seeking a Data Scientist to build predictive models, analyze consumer risk behavior, and ... or FinTech • Marketing analytical experience Company : NinjaHoldings is a digital financial ...

Taskrabbit

Staff Data Scientist

San Francisco, CA

$170K - $225K/yr

A minimum of 7 years industry experience in data science; previous experience in a marketplace or fintech company is a plus * Strong and relevant experience with advanced experimentation and ...

Procter & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Proctor & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Rocket Limited Partnership

Data Scientist

Detroit, MI · On-site

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... fintech, real estate and more. We're insistently different in how we look at the world and are ...

Rock Connections

Data Scientist

Detroit, MI

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... fintech, real estate and more. We're insistently different in how we look at the world and are ...

Global Lending Services

Data Scientist

Greenville, SC · On-site

This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026*** What does it mean to be a Data Scientist at GLS? GLS relies heavily on Data ...

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 ...

The Hollister Group

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 ...

asrcfh

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: ...

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All JobsFintech Data Scientist 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 Aug 3, 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:
What are the most commonly searched types of Fintech Data Scientist jobs? The most popular types of Fintech Data Scientist jobs are:
What states have the most Entry Level Fintech Data Scientist jobs? States with the most job openings for Entry Level Fintech Data Scientist jobs include:
What job categories do people searching Entry Level Fintech Data Scientist jobs look for? The top searched job categories for Entry Level Fintech Data Scientist jobs are:
Entry Level Fintech Data Scientist jobs near you
Infographic showing various Entry Level Fintech Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Product Data Scientist *** Direct End Client ***

Projas Technologies, LLC

Mountain View, CA • On-site

Other

Re-posted 5 days ago

Job description

Product Data Scientist

Job Summary

We re hiring a Product Data Scientist to drive insights and deliver data-backed strategies that accelerate growth and enhance customer experience. This role combines advanced analytics, experimentation, and technical expertise to solve complex product challenges.

Responsibilities

  • Formulate data-driven strategies to drive business growth and customer benefit.
  • Generate hypotheses based on customer behavior, industry trends, and market factors.
  • Design and interpret complex experiments beyond traditional A/B testing.
  • Build reusable and scalable analytics solutions to streamline workflows.
  • Communicate insights effectively to influence decision-makers and align cross-functional teams.

Required Skills

  • Technical Tools: Databricks, Tableau, SQL, Python.
  • Advanced SQL for complex queries and data manipulation.
  • Data Visualization: Qlik, Tableau, Plotly Dash.
  • Python Analytics & Modeling: numpy, pandas, scikit-learn.
  • Familiarity with Linux/OS X command line, Git, and general software development practices.
  • Experience with Generative AI and emerging technologies for multi-modal data insights.

Preferred Qualifications

  • Experience solving growth-related problems in fintech companies.
  • Strong analytical mindset with proven ability to design scalable data solutions.
  • Excellent communication and collaboration skills.

Product Data Scientist, Data Science, Analytics, SQL, Advanced SQL, Python, numpy, pandas, scikit-learn, Databricks, Tableau, Qlik, Plotly Dash, Data Visualization, Experiment Design, A/B Testing, Generative AI, Machine Learning, Linux, OS X, Git, Software Development, FinTech, SMB, Growth Strategy, Data Modeling, Data Pipelines, Dashboard Development, Statistical Analysis, Cloud Analytics, Big Data, Data Engineering

Apply