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Entry Level Fintech Data Scientist Jobs (NOW HIRING)

Orbotech

Data Scientist (Entry Level) - GSCS

Milpitas, CA · On-site

$67K - $114K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

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: ...

NinjaHoldings

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

Use advanced data analytics to understand consumer risk behavior trends, their impact on the ... Experience working with specialty finance or FinTech * Marketing analytical experience Benefits:

NinjaHoldings

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

Use advanced data analytics to understand consumer risk behavior trends, their impact on the ... Experience working with specialty finance or FinTech * Marketing analytical experience Benefits:

Paramount

Associate Data Scientist

Manhattan, NY

$64K - $65K/yr

We are seeking an Associate 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 ...

Paramount

Associate Data Scientist

Burbank, CA

$62K - $63K/yr

We are seeking an Associate 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 ...

Paramount

Associate Data Scientist

Burbank, CA · On-site

$62K - $63K/yr

We are seeking an Associate 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 ...

Achieve

Sr. Data Scientist (Credit Risk)

San Mateo, CA · On-site +1

We are looking for an experienced, hands-on Credit Risk, Sr. Data Scientist who is comfortable ... A Passion for fintech, agile environment, ability to work both independently and in a collaborative ...

Achieve

Sr. Data Scientist (Credit Risk)

San Mateo, CA · On-site +1

We are looking for an experienced, hands-on Credit Risk, Sr. Data Scientist who is comfortable ... A Passion for fintech, agile environment, ability to work both independently and in a collaborative ...

MeridianLink

Data Scientist, AI Data Foundations

$114K - $175K/yr

Data Scientist, AI Data Foundations About the Role Reporting into the Data Engineering organization ... Preferred Qualifications • Experience working in a SaaS or FinTech environment, particularly with ...

Alloy

Senior Data Scientist

New York, NY · On-site

Magazine's Best Workplaces, Forbes America's Best Startup Employers, Best Fintech to Work for by ... Data Science, or Machine Learning with a proven track record in a "Solutions" or client-facing ...

Alloy

Senior Data Scientist

New York, NY

Magazine's Best Workplaces, Forbes America's Best Startup Employers, Best Fintech to Work for by ... Data Science, or Machine Learning with a proven track record in a "Solutions" or client-facing ...

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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 Jul 14, 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 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 (Entry Level) - GSCS

Data Scientist (Entry Level) - GSCS

Orbotech

Milpitas, CA • On-site

$67K - $114K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

We are seeking an early-career Data Scientist to join our Digital Solutions & Analytics team, building data-driven solutions on KLA's Global Supply Chain Services (GSCS) Foundry instance. You'll learn to design pipelines, model real-world entities in the Ontology, and build operational applications that teams use to make decisions daily. With mentorship from senior FDEs, you'll grow into a fully internally developed engineer.

This is an opportunity to accelerate your development in a team that prioritizes technical excellence, mentorship, and continuous learning.

What You'll Do:

  • Build and maintain data pipelines that integrate, clean, and transform supply chain data

  • Design Ontology models that represent real-world operations (parts, shipments, suppliers)

  • Create applications andworkflowsfor business users

  • Support AI-powered workflows (summarization, recommendations, automation) using AIP

  • Partner with business teams to translate operational problems into platform solutions

  • Progress through structured FDE development milestones

What You'll Bring

  • Proficiency in Python and SQL

  • Comfort with data modeling and working with structured datasets

  • Strong problem-solving skills and intellectual curiosity, with the ability to take ambiguous problems and translate them into structured analytical approaches

  • Ability to communicate technical concepts and insights clearly

  • Eagerness to learn, take feedback, and grow in a team-oriented environment

Bonus

  • Experience with data pipelines, ETL, or version control (GIT)

  • Exposure to manufacturing, supply chain, or operations domains

  • Interest in AI/ML and applying it to enterprise workflows

  • Palantir Foundry exposure

Minimum Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Data Analytics, or a related quantitative field and 0 years related work experience

Base Pay Range: $67,400.00 - $114,600.00 AnnuallyPrimary Location: USA-CA-Milpitas-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

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