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Intern Fintech Data Scientist Jobs (NOW HIRING)

Calliere

Product Data Scientist

Manhattan, NY · Hybrid

We're a fintech company focused on modernising how workers access and manage their pay, giving them ... Product Data Scientist \n \n \n \n \n \n We're hiring a Product Data Scientist to own the ...

Earnest

Data Scientist

San Francisco, CA · On-site +1

$194K/yr

Data Scientist Duties: * The Data Scientist at Earnest LLC in Oakland, CA will guide product ... Fintech sectors to drive informed decision-making and optimize business processes. This notice is ...

Triumph

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

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

Nuro

Data Scientist Intern

Mountain View, CA · On-site

$11K - $14K/mo

As a Data Scientist intern, you will define key metrics, perform deep-dive analyses, and develop machine learning and statistical models to optimize autonomy systems performance and software ...

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 ...

Triumph Arcade, Inc

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

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

Findigs

Data Scientist

New York, NY · Hybrid

$160K - $185K/yr

We'd love to hear from you if you have: * 4+ years of hands-on data science or applied ML experience (fintech, proptech, or other high-stakes decisioning environments preferred) * Strong Python ...

Findigs

Data Scientist

New York, NY · Hybrid

We'd love to hear from you if you have: * 4+ years of hands-on data science or applied ML experience (fintech, proptech, or other high-stakes decisioning environments preferred) * Strong Python ...

Findigs

Data Scientist

New York, NY · On-site

We'd love to hear from you if you have: * 4+ years of hands-on data science or applied ML experience (fintech, proptech, or other high-stakes decisioning environments preferred) * Strong Python ...

Rock Connections

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 ...

Nuro

Data Scientist Intern

Mountain View, CA · On-site

$11K - $14K/mo

As a Data Scientist intern, you will define key metrics, perform deep-dive analyses, and develop machine learning and statistical models to optimize autonomy systems performance and software ...

Pipe Technologies

Data Scientist

$150K - $180K/yr

The Role We're looking for a hands-on Data Scientist who treats AI tooling as a core part of the ... You'll learn a tremendous amount about fintech, and there's a significant career runway at Pipe.

Fiserv, Inc.

Data Scientist

Alpharetta, GA · On-site

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way ... Job Title Data Scientist Overview: This position is a member of the Merchant Solutions Data and ...

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All JobsIntern Fintech Data Scientist Jobs

Intern Fintech Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do intern fintech data scientist jobs pay per year?

As of Jul 17, 2026, the average yearly pay for intern fintech data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Intern Fintech Data Scientist vs Intern Data Analyst?

AspectIntern Fintech Data ScientistIntern Data Analyst
Required CredentialsBasic programming, statistics, finance knowledgeExcel, SQL, basic analytics skills
Work EnvironmentFintech startups, financial institutionsVarious industries, including finance and tech
Employer & Industry UsageFinancial technology companies, banksBroadly used across sectors
Common Search & Comparison IntentUnderstanding roles, responsibilities, and skillsClarifying job functions and expectations

The Intern Fintech Data Scientist typically focuses on developing predictive models and analyzing financial data using advanced statistical and machine learning techniques within fintech companies. In contrast, the Intern Data Analyst primarily handles data collection, cleaning, and basic analysis to support business decisions across various industries. Both roles require foundational data skills, but the Data Scientist role involves more technical expertise in programming and modeling specific to fintech applications.

What cities are hiring for Intern Fintech Data Scientist jobs? Cities with the most Intern 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 Intern Fintech Data Scientist jobs? States with the most job openings for Intern Fintech Data Scientist jobs include:
Intern Fintech Data Scientist jobs near you

Product Data Scientist

Calliere

Manhattan, NY • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

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\n Most people earn money every day, but only see it hit their account every few weeks. We're a fintech company focused on modernising how workers access and manage their pay, giving them more flexibility and control over their cash flow.
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\n Our platform plugs into the tools employers already use-timekeeping, workforce, and payroll systems-so employees can see and use what they've earned without changing how they work today. Think of it as an intelligent layer on top of existing infrastructure that turns static pay cycles into dynamic, real\-time experiences.
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\n Role: Product Data Scientist<\/b>
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\n We're hiring a Product Data Scientist to own the measurement, experimentation, and analytics that shape both the product experience and how we think about credit and risk. You'll design how we test ideas, define whether they're successful, and ensure that decisions across the company are grounded in clear, quantitative evidence rather than gut feel.
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\n This role is squarely in the "analytics + experimentation" lane: it's about structuring tests, analysing outcomes, and influencing strategy, not building large\-scale ML systems from scratch. You'll sit between product, finance, risk, and engineering, helping each function understand the impact of changes on growth, economics, and portfolio quality.
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\n Responsibilities<\/b>
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\n Own the end\-to\-end experimentation framework for the product, from ideation and design through implementation and readout.
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\n Design A\/B and multivariate tests that touch both user\-facing surfaces and credit policies, and quantify their impact on behaviour, economics, and risk.
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\n Turn risk indicators and model outputs into practical business rules and strategies for approvals, exposure, and pricing.
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\n Act as the central source of truth for experiment results, setting standards for methodology, guardrails, and interpretation.
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\n Define core product and financial metrics, and build dashboards and frameworks to monitor behaviour, unit economics, and overall performance.
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\n Partner with Product, Finance, Risk, and Engineering to evaluate trade\-offs and make calls that balance user value, growth, and portfolio health.
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\n Serve as a strategic thought partner, clearly communicating what the data says (and doesn't say) to non\-technical stakeholders.
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\n Minimum Requirements<\/b>
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\n Approximately 5+ years in data science, product analytics, or another quantitative role with direct impact on product or business strategy.
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\n Strong foundation in statistics and experimental design, including A\/B testing, hypothesis testing, and practical causal inference concepts.
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\n Hands\-on experience running structured experimentation programs and using their results to shape roadmaps or policies.
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\n Deep SQL proficiency and comfort working with large, messy datasets.
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\n Ability to translate complex analyses into clear, concise narratives and recommendations for business and product leaders.
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\n History of successful collaboration with cross\-functional teams in fast\-moving environments.
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\n Strong business intuition, with a habit of thinking in terms of unit economics, trade\-offs, and risk\-versus\-growth dynamics.
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\n Nice\-to\-Have Experience<\/b>
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\n Exposure to fintech, lending, or credit products, especially around risk scoring or portfolio management.
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\n Familiarity with underwriting concepts like approval strategies, loss expectations, and credit performance measurement.
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\n Experience building forecasting or projection models for revenue, engagement, or portfolio metrics.
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\n Proficiency in Python or R for data analysis and experiment evaluation.
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\n Hands\-on use of experimentation platforms and statistical tooling in a production environment.
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Requirements<\/h3>\n
\n Work Setup & Compensation<\/b>
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  • Hybrid role in NYC, with regular in\-office collaboration several days per week.
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  • Competitive base salary aligned with senior individual\-contributor data roles in fintech, plus equity and a full benefits package.<\/span>
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    \n Benefits & Perks<\/b>
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    • Comprehensive health coverage (medical, dental, vision) with options for dependents.
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    • Paid parental leave and employer\-supported retirement plans.
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    • Flexible PTO policy tailored for salaried roles.
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    • Stipend for home office setup and remote collaboration tools.
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    • Access to the company's products and financial wellness tools for your own use.
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