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Internship Bank Data Scientist Jobs (NOW HIRING)

AS TRADE LLC

Data Scientist

Dallas, TX

We are seeking a motivated Data Scientist - Banking Domain to support analytics, predictive modeling, and data-driven decision-making for banking and financial services initiatives. This role focuses ...

State Farm

Data Scientist

Richardson, TX · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

State Farm

Data Scientist

Bloomington, IL · On-site

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

State Farm

Data Scientist

Dunwoody, GA · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

NorthEastern

Data Scientist

Portland, ME

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

State Farm

Data Scientist

Tempe, AZ · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Rich Data Co

Senior Data Scientist

San Jose, CA

AI helps business and commercial bankers know more, do more, and grow more by turning complex data ... High-performance teams working alongside industry-leading data scientists and credit experts

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Data Scientist * Full Time * Onsite/Hybrid Preferred The Data Scientist is responsible for ... internship experience, or equivalent hands-on industry experience may be considered in lieu of ...

MessageControl

Data Scientist

Chicago, IL · On-site

Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. * Outstanding ...

MessageControl

Data Scientist

Chicago, IL · On-site

Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. * Outstanding ...

The Voleon Group

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 ... including internships working with complex datasets, including curation, querying, aggregation ...

Bank of America

Data Scientist I

New York, NY · On-site

$105K - $193K/yr

At Bank of America, we are guided by a common purpose to help make financial lives better through ... We are the core data scientists building end-to-end production level solutions at scale. The team ...

Bank of America

Data Scientist I

Charlotte, NC · On-site

$105K - $193K/yr

At Bank of America, we are guided by a common purpose to help make financial lives better through ... We are the core data scientists building end-to-end production level solutions at scale. The team ...

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All JobsInternship Bank Data Scientist Jobs

Internship Bank Data Scientist information

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$46K

$165K

$243.5K

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

As of Jun 13, 2026, the average yearly pay for internship bank 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 does an Internship Bank Data Scientist do?

An Internship Bank Data Scientist assists banking organizations in analyzing large sets of financial data to uncover trends, improve decision-making, and enhance services. Their work typically involves cleaning and preparing data, applying statistical models, and creating visualizations to communicate insights. Interns often collaborate with senior data scientists and other departments to support projects related to risk assessment, fraud detection, and customer analytics. This role provides hands-on experience with industry-standard tools and real-world banking data, offering valuable exposure to the field.

What types of projects do Internship Bank Data Scientists typically work on, and how do these projects contribute to the bank's objectives?

Internship Bank Data Scientists often work on projects involving data analysis, predictive modeling, and process automation to support departments like risk management, marketing, and customer analytics. These projects might include developing models to detect fraudulent transactions, segmenting customers for targeted offers, or optimizing internal workflows. Interns collaborate closely with senior data scientists, analysts, and IT teams, gaining exposure to real-world banking datasets and tools. The work completed by interns not only contributes to the bank’s data-driven decision making but also provides valuable, hands-on experience that can lead to future full-time opportunities.

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

To thrive as an Internship Bank Data Scientist, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (e.g., Tableau), SQL databases, and machine learning libraries is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and convey insights to non-technical stakeholders. These skills are crucial for transforming complex data into actionable strategies that support banking operations and decision-making.

What is the difference between Internship Bank Data Scientist vs Data Analyst?

AspectInternship Bank Data ScientistData Analyst
Required CredentialsTypically pursuing or holding a degree in Data Science, Statistics, or related fieldsOften holds a degree in Data Analysis, Statistics, or related fields
Work EnvironmentInternship setting within financial institutions or banks, focusing on data modeling and analysisVaries from finance to marketing, working with data visualization and reporting
Employer & Industry UsageUsed by banks and financial firms for data-driven decision making during internshipsCommon across industries for interpreting data and supporting business decisions

The Internship Bank Data Scientist role is an entry-level position focused on developing data science skills within banking environments, often as part of an internship program. In contrast, Data Analysts typically work across various industries, focusing on data interpretation and reporting. While both roles require analytical skills and familiarity with data tools, the Data Scientist role emphasizes modeling and machine learning, whereas Data Analysts focus more on data visualization and descriptive analysis.

More about Internship Bank Data Scientist jobs
What cities are hiring for Internship Bank Data Scientist jobs? Cities with the most Internship Bank Data Scientist job openings:
What are the most commonly searched types of Bank Data Scientist jobs? The most popular types of Bank Data Scientist jobs are:
What states have the most Internship Bank Data Scientist jobs? States with the most job openings for Internship Bank Data Scientist jobs include:
What job categories do people searching Internship Bank Data Scientist jobs look for? The top searched job categories for Internship Bank Data Scientist jobs are:
Internship Bank Data Scientist jobs near you
Infographic showing various Internship Bank Data Scientist job openings in the United States as of June 2026, with employment types broken down into 55% Full Time, and 45% Part Time. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

AS TRADE LLC

Dallas, TX

Other

Posted 7 days ago

Job description

We are seeking a motivated Data Scientist – Banking Domain to support analytics, predictive modeling, and data-driven decision-making for banking and financial services initiatives. This role focuses on analyzing customer, account, transaction, payment, lending, and risk-related data to identify trends, build models, and support business insights.

The ideal candidate will work with business, analytics, BI, and technology teams to develop data models, perform statistical analysis, create dashboards, and support machine learning use cases within banking operations.

<> Key Responsibilities

Analyze banking and financial services data including customer, account, transaction, payment, lending, and credit data
Write SQL queries to extract, clean, transform, and validate datasets from multiple sources
Use Python for data analysis, feature engineering, statistical analysis, and basic machine learning models
Support development of predictive models for customer behavior, risk analysis, fraud detection, churn, loan performance, and campaign effectiveness
Perform exploratory data analysis to identify trends, patterns, anomalies, and business insights
Build and validate datasets used for reporting, dashboards, and model development
Collaborate with business analysts, data engineers, BI teams, and stakeholders to understand business problems and data needs
Create visualizations and reports to communicate insights to technical and non-technical audiences
Support data quality checks, outlier analysis, missing value handling, and model validation activities
Maintain documentation for data sources, assumptions, model logic, analysis results, and business recommendations

<> Required Qualifications

2–3 years of experience in data science, analytics, data analysis, or related roles
Strong SQL skills for querying, joining, aggregating, and validating data
Good Python knowledge using libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, or similar tools
Understanding of statistical analysis, data cleaning, feature engineering, and machine learning basics
Experience with exploratory data analysis, trend analysis, and business insight generation
Basic understanding of banking, financial services, payments, lending, risk, or customer analytics is preferred
Exposure to cloud platforms such as AWS, Azure, or similar environments is a plus
Understanding of data warehousing, data pipelines, and structured datasets
Strong analytical mindset with attention to data accuracy and business context
Good communication skills and ability to explain data insights clearly to business stakeholders

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