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Internship Bank Data Scientist Jobs (NOW HIRING)

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

Data Scientist

Atlanta, GA · On-site

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

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

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

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

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

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 ...

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

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 ...

Overview Our International, Open Banking, Product Value Proposition Team is looking for a Senior ... Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty ...

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 ...

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 ...

... of banking and product knowledge, statistical techniques, and machine learning/optimization ... data science project methodologies • Strong Data analysis Skills • Thought Leadership skills ...

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 ...

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 ...

Showing results 41-60

Internship Bank Data Scientist information

See salary details

$46K

$165K

$243.5K

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

As of Sep 14, 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 does an internship bank data scientist 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 are popular job titles related to Internship Bank Data Scientist jobs?

For Internship Bank Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Internship Bank Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

West Palm Beach, FL • On-site

SROA PROPERTY MANAGEMENT, LLC
Real Estate • 201 - 500 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Key responsibilities

  • Assist in developing, testing, and maintaining predictive models, statistical analyses, and machine learning solutions for business use cases

  • Explore and analyze structured data to identify trends, relationships, anomalies, and opportunities that can improve business performance

  • Partner with business stakeholders and Data Intelligence team members to understand business questions, define analytical approaches, and translate findings into actionable insights


Storage Rentals of America rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Become the newest member of our exciting team at SROA Capital as we redefine self-storage!

At SROA, we offer a career and opportunity to grow. We strongly believe in growing our talent and promoting within. We are proud to be honored as one of the TOP WORKPLACES of South Florida by the Sun Sentinel three years in a row.

SROA Capital is a vertically integrated private equity real estate investment firm that has evolved into a global asset manager with a successful track record of providing risk adjusted returns to its partners through its focused strategy of investing in self-storage. SROA is headquartered in West Palm Beach, FL and has invested, redeveloped, and developed self storage across the risk spectrum in major and secondary markets across the United States under the brand Storage Rentals of America and the UK under the brand Kangaroo Self Storage with approximately 900 employees globally.

The Data Scientist will apply statistical analysis, predictive modeling, machine learning, and AI-enabled analytics to trusted company data. This role  will help transform data into insights, predictions, recommendations, and reusable analytics products while developing a strong understanding of SROA business operations and data assets.

This role will support use cases across revenue management, customer behavior, operations, marketing, investment analysis, and customer experience and will work with Data Intelligence leadership, analytics engineering, business intelligence, data engineering and business stakeholders. The position is designed for an early-career professional who has a strong foundation in statistics, programming, and analytical problem-solving and is eager to grow through hands-on work with real business problems.

Duties and Responsibilities

  • Assist in developing, testing, and maintaining predictive models, statistical analyses, and machine learning solutions for business use cases
  • Explore and analyze structured data to identify trends, relationships, anomalies, and opportunities that can improve business performance
  • Partner with business stakeholders and Data Intelligence team members to understand business questions, define analytical approaches, and translate findings into actionable insights
  • Prepare, clean, validate, and transform data for analysis in collaboration with analytics engineering and data engineering resources
  • Build reproducible analytical workflows using SQL, Python, or similar tools and document assumptions, methods, model inputs, and results
  • Evaluate model performance using appropriate statistical and machine learning techniques and communicate limitations, risks, and expected business impact
  • Support experimentation, forecasting, segmentation, optimization, and other advanced analytics initiatives as assigned
  • Create clear visualizations, summaries, and presentations that explain analytical findings to technical and non-technical audiences
  • Contribute analytical outputs and model results to dashboards, reports, and other data products in partnership with business intelligence resources
  • Follow Data Intelligence standards for metric consistency, data quality, governance, documentation, version control, and analytical reproducibility
  • Research emerging data science, machine learning, and AI techniques and help evaluate practical applications within SROA
  • Contribute to a collaborative Data Intelligence operating model focused on trusted data, reusable assets, consistent analytics, and measurable business value
  • Other projects as assigned

Required:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field, or equivalent practical experience
  • 0-2 years of professional, internship, academic, or project experience applying data science, statistical analysis, machine learning, or advanced analytics techniques
  • Working knowledge of Python and common data analysis libraries such as pandas, NumPy, scikit-learn, or similar tools
  • Working knowledge of SQL and the ability to query, join, aggregate, and validate data from relational data sources
  • Foundational understanding of statistics, probability, regression, classification, model evaluation, and experimental or analytical design
  • Ability to clean, explore, analyze, and visualize data and explain findings in a clear, business-oriented manner
  • Strong analytical reasoning, problem-solving, attention to detail, and intellectual curiosity
  • Ability to learn business processes and translate business questions into structured analytical problems
  • Strong written and verbal communication skills and the ability to work effectively with both technical and non-technical team members
  • Ability to manage multiple assignments, document work clearly, and operate effectively in a fast-paced and evolving environment

Preferred:

  • Internship, academic, or project experience with predictive modeling, forecasting, customer analytics, optimization, segmentation, or recommendation techniques
  • Exposure to cloud data platforms, modern data warehouses, notebooks, Git, or other collaborative analytics development tools
  • Exposure to Microsoft Power BI or other business intelligence and data visualization platforms
  • Familiarity with generative AI, large language models, or AI-enabled analytical workflows
  • Experience working with real estate, self-storage, retail, revenue management, marketing, operations, or other multi-site business data

SROA Offers: 

  • Competitive pay with bonus potential
  • UKG Wallet – on-demand pay option
  • 100% paid medical coverage options for employee-only
  • Dental and vision plans for optimal care
  • Eight (8) paid holidays
  • Generous Paid Time Off (PTO), increasing with years of service
  • Paid Maternity and Parental Leave for growing families
  • 401(k) with substantial employer match and 100% immediate vesting
  • Flexible Spending Accounts (FSA), Health Savings Accounts (HSA), and Dependent Care Flexible Spending Accounts (DCFSA) for tax-advantaged savings
  • GAP Insurance for added financial protection
  • Employer-paid Life Insurance and Short-Term Disability coverage
  • Long-Term Disability (LTD) coverage for added peace of mind
  • Pet insurance – because your pets are family too
  • Storage Discounts to help you declutter and organize
  • Access to Voluntary Benefits for personalized coverage
  • Learning and development opportunities to maximize your potential and excel in your career
  • A great culture that values collaboration, innovation, and inclusivity

SROA is an Equal Opportunity employer and uses the federal government E-Verify system to verify employment eligibility.


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