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Internship Data Scientist Finance Jobs (NOW HIRING)

Figma is a company dedicated to making design accessible to all, and they are seeking a Finance Data Scientist to enhance their financial data systems. This role involves building data foundations ...

Figma is growing our Finance Data Science team at a pivotal moment in the company's evolution. As a public company, the accuracy, scalability, and sophistication of our financial data systems have ...

Figma is a company focused on making design accessible to all, and they are seeking a Finance Data Scientist to enhance their financial data systems. This role involves building data foundations for ...

Figma is growing our Finance Data Science team at a pivotal moment in the company's evolution. As a public company, the accuracy, scalability, and sophistication of our financial data systems have ...

What Data Science contributes to Cardinal Health The Data & Analytics Function oversees the ... You will act as the bridge between technical development and financial workflows, ensuring the ...

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ... You can also start a savings account or consider financing through our State Farm Federal Credit ...

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

As a Data Scientist, you will be responsible for harvesting insights from a complex array of data ... financial engineering, or industry internships * Experience developing in a production-facing ...

Data Scientist

Boston, MA

$160K - $180K/yr

Data Scientist Company Description Newton Research is a fast-growing software start-up founded by ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

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Internship Data Scientist Finance information

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$46K

$165K

$243.5K

How much do internship data scientist finance jobs pay per year?

As of Jul 26, 2026, the average yearly pay for internship data scientist finance 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 does an Internship Data Scientist in Finance do?

An Internship Data Scientist in Finance assists with analyzing large datasets to uncover trends, patterns, and insights that can help financial organizations make better decisions. They typically work with financial data, use programming languages like Python or R, and apply statistical models or machine learning techniques. Interns may also help with data cleaning, visualization, and reporting to support investment strategies, risk assessment, or financial forecasting. This role provides hands-on experience in both data science and the finance industry, helping interns build relevant technical and analytical skills.

What are the key skills and qualifications needed to thrive as an Internship Data Scientist in Finance, and why are they important?

To thrive as an Internship Data Scientist in Finance, you generally need strong analytical skills, a solid foundation in statistics, and coursework or experience in finance, often supported by progress toward a degree in a quantitative field. Familiarity with programming languages like Python or R, data visualization tools, and experience with financial data platforms are typically expected. Curiosity, problem-solving ability, and effective communication help interns stand out when tackling complex financial datasets and explaining findings to stakeholders. These skills are vital for extracting actionable insights, supporting data-driven decisions, and contributing to the organization's financial objectives.

What types of projects do Data Scientist interns typically work on in the finance sector?

As a Data Scientist intern in finance, you can expect to work on projects like building predictive models for credit risk, analyzing large financial datasets to identify market trends, or developing dashboards to visualize key metrics. Interns often collaborate with experienced data scientists, software engineers, and business analysts, gaining exposure to both technical and business aspects of finance. You'll likely use tools such as Python, SQL, and data visualization libraries while learning about financial regulations and industry standards. This hands-on experience is designed to help you develop practical skills that are highly valued in the financial sector.
More about Internship Data Scientist Finance jobs
What cities are hiring for Internship Data Scientist Finance jobs? Cities with the most Internship Data Scientist Finance job openings:
What are the most commonly searched types of Data Scientist Finance jobs? The most popular types of Data Scientist Finance jobs are:
What states have the most Internship Data Scientist Finance jobs? States with the most job openings for Internship Data Scientist Finance jobs include:
What job categories do people searching Internship Data Scientist Finance jobs look for? The top searched job categories for Internship Data Scientist Finance jobs are:
Infographic showing various Internship Data Scientist Finance job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist, Finance

Full-time

Posted 22 days ago


Job description

Job Summary:
Figma is a company dedicated to making design accessible to all, and they are seeking a Finance Data Scientist to enhance their financial data systems. This role involves building data foundations for financial reporting and collaborating closely with various teams to ensure the accuracy and effectiveness of financial metrics.
Responsibilities:
• Own and improve the data models that power Figma's financial reporting, including ARR, revenue, billings, collections, and other key business metrics
• Build scalable reporting systems, forecasts, and analytical frameworks that support Finance, Accounting, Investor Relations, and executive leadership
• Drive data accuracy and completeness across month-end, quarter-end, and year-end close processes alongside Strategic Finance and Accounting teams
• Collaborate with Engineering, Product, GTM Systems, and Financial Systems teams to ensure the completeness and accuracy of financial data
• Conduct deep-dive analyses that inform strategic decisions and uncover opportunities to improve business performance
• Define, measure, and operationalize key financial and operational metrics
• Design and implement durable data solutions that balance immediate stakeholder needs with long-term scalability
• Serve as a trusted thought partner to Finance leaders, helping guide reporting, forecasting, and decision-making across the business
Qualifications:
Required:
• 3+ years of experience in Data Science, Analytics, Finance, Financial Systems, Data Engineering, or a related field
• Advanced SQL skills and strong proficiency in Python or a similar programming language
• Experience supporting Finance, Accounting, Strategic Finance, FP&A, Investor Relations, or other finance-focused stakeholders
• Demonstrated ability to translate complex data into clear, actionable business insights for non-technical stakeholders
• Experience working independently and driving projects from ambiguity to execution
Preferred:
• Experience with SaaS, subscription-based, usage-based, or consumption-based business models
• Knowledge of accounting concepts and revenue recognition principles (ASC 606)
• Experience with modern analytics and data engineering tools such as DBT, Snowflake, Git, Spark, Presto, or similar technologies
• Experience supporting IPO readiness, public company reporting, SOX controls, audits, or other major corporate milestones
• Background in Strategic Finance, FP&A, Accounting, Investment Banking, Consulting, or related fields
Company:
Figma is a collaborative design tool that enables teams to create, prototype, and test digital products on one platform. Founded in 2012, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.