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Entry Level Bank Data Scientist Jobs (NOW HIRING)

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

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: ...

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: ...

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

Data Scientist III

Philadelphia, PA · On-site +1

$110K - $115K/yr

Support our Data Sciences team within Health Content Operations and work with the Clinical ... We never request money or banking details from job applicants. Learn more about spotting and ...

Data Scientist III

Philadelphia, PA · On-site

$110K - $115K/yr

Support our Data Sciences team within Health Content Operations and work with the Clinical ... We never request money or banking details from job applicants. Learn more about spotting and ...

Working alongside data scientists, ML engineers, and clinical analysts, this role applies ... This is an entry-level to early-career role for candidates who have curiosity about healthcare data ...

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Entry Level Bank Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do entry level bank data scientist jobs pay per year?

As of Jun 13, 2026, the average yearly pay for entry level bank 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 the key skills and qualifications needed to thrive as an Entry Level Bank Data Scientist, and why are they important?

To thrive as an Entry Level Bank Data Scientist, you need a solid background in statistics, data analysis, and programming—often supported by a relevant degree in mathematics, computer science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as knowledge of financial data systems, is commonly expected. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings to non-technical stakeholders. These competencies enable accurate data-driven decisions that support banking operations, risk management, and customer insights.

What is the difference between Entry Level Bank Data Scientist vs Entry Level Bank Data Analyst?

AspectEntry Level Bank Data ScientistEntry Level Bank Data Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RBachelor's degree in Finance, Economics, or related field; proficiency in Excel and SQL
Work EnvironmentData-driven teams within banks, focusing on predictive modeling and advanced analyticsOperational teams analyzing financial data, preparing reports, and supporting decision-making
Employer & Industry UsageFinancial institutions, banks, fintech companiesBanking sector, financial services firms

While both roles involve working with financial data, Entry Level Bank Data Scientists focus on developing predictive models and advanced analytics, requiring programming skills and statistical knowledge. Entry Level Bank Data Analysts primarily handle data reporting and basic analysis, emphasizing proficiency in Excel and SQL. Both roles are essential in banking but differ in technical complexity and responsibilities.

What are some common challenges faced by entry-level data scientists in the banking sector, and how can new hires navigate them?

Entry-level data scientists in banking often encounter challenges such as working with highly regulated, sensitive financial data and adapting to legacy systems that may limit tool choices. New hires may also need to quickly learn domain-specific knowledge, like risk modeling or fraud detection. To succeed, it's helpful to proactively seek mentorship from experienced colleagues, participate in cross-functional project meetings to understand business objectives, and invest time in learning about data privacy regulations. Building strong communication skills is also important, as you'll often collaborate with IT, compliance, and business teams to ensure your analyses align with both technical and regulatory requirements.

What does an Entry Level Bank Data Scientist do?

An Entry Level Bank Data Scientist analyzes financial data to help banks make data-driven decisions. Their work often involves cleaning and processing large datasets, building statistical models, and creating reports to identify trends or detect fraud. They collaborate with other teams to improve products, optimize processes, and ensure regulatory compliance. While they may not lead projects, they play a key role in supporting analytics initiatives and learning advanced data science techniques on the job.
More about Entry Level Bank Data Scientist jobs
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 Entry Level Bank Data Scientist jobs? States with the most job openings for Entry Level Bank Data Scientist jobs include:
Infographic showing various Entry Level Bank Data Scientist job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 76% Full Time, 12% Part Time, and 9% Contract. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Manager, Product Management - Retail Bank Data

Manager, Product Management - Retail Bank Data

Capital One

New York, NY • On-site

Full-time

Medical, Dental, Retirement

Posted 23 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks


Job description

Manager, Product Management - Retail Bank Data
At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalize credit card offers, turning the entire industry on its head. As we've grown bigger, we've found more and more ways to use technology and face-to-face conversations to understand the human problems associated with money and finances.
In the Consumer Bank, we've combined this human-centered approach with our heritage of data-driven decision making to design, build and test our way to truly enabling financial experiences. Are you passionate about improving the way people interact with their money? Are you driven by the delight you bring to customers? Do you keep asking, "why," until you hit the root? It's common to fall in love with solutions, but have you ever fallen in love with the problem? If you're nodding your head, then we want you!
About the Role
As a Product Manager on the Bank Data Team, you'll be joining a passionate team of product managers, engineers, data scientists, and analysts working to create the real time, intelligent, Bank of the future. To make this future a reality, you will be responsible for building and executing the strategy to modernize how we publish and consume data at Capital One. Creating this strategy will involve working across the Bank to understand where we are now and where we need to go. We have a long journey ahead and are excited to bring on inquisitive, strategic, thought leaders to make our data dreams a reality.
On any given day in the Bank you'll be:
  • Empowered. Part of a team responsible for defining the central data strategy for Retail Bank. Delivering data platforms that will drive how we embrace emerging technologies and power our business agenda by enabling real-time, intelligent decisions and creating a competitive advantage for the Bank and Capital One
  • Learning constantly. Work deeply with customers, associates, designers, technologists and data scientists to build cutting edge solutions
  • Innovating relentlessly. Pushing big change by asking bold questions; starting small, testing, and learning your way to something dramatically better
  • Sharing openly. Telling stories that change the way people think about building products and solving problems, and that illustrate the power of what software can do to make them even better
  • Connecting creatively. Jumpstarting a self-supporting community by sowing the right seeds, building the right tools, integrating the right off-the-shelf products and just plain elbow grease
  • Succeeding strategically. Solving the right problem and holding on the wrong one.

Here is what you will bring to the table:
  • Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea, or follow an email chain for weeks to find someone with an answer.
  • Do-er. You have a bias toward action, you try things, and sometimes you fail. You dug up a hidden feature in an API that let you do something really cool or introduced a new routine that broke down silos that led to better decisions.
  • Passionate. You care about growing others and bringing them together around what's possible. You've started meetup groups or taught General Assembly courses because you love enabling others.
  • Communicator. You can communicate complex ideas clearly, your team knows their priorities and why they're doing what they're doing. Maybe you're an introvert, or maybe you're an extrovert, but nobody accuses you of keeping them out of the loop.
  • Wrangler. You've gotten back-end engineers to play nice with iOS developers, you can inspire an ETL developer to write creatively about her latest pipeline.
  • Fearless. Big, undefined problems don't frighten you. You can work at a tiny crack until you've broken open the whole nut. You are comfortable saying no.

Here is what we will bring to the table:
  • Competitive salary and equity (including a robust 401(k) plan)
  • Excellent medical and dental insurance (and other health benefits)
  • Superstar product, design, data and engineering leaders [Paypal, Google, Gilt, Yodle, AOL, Adaptive Path]
  • Top class engineering teams that you will lead and build product alongside
  • Continuous learning budget
  • Highly supportive and "bought in" leadership environment

Basic Qualifications:
  • At least 3 years of experience working in Product Management
  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Preferred Qualifications:
  • Experience translating business strategy and analysis into consumer facing digital products

At this time, Capital One will not sponsor a new applicant for employment authorization for this position
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $164,800 - $188,100 for Manager, Product Management
New York, NY: $179,700 - $205,100 for Manager, Product Management
Wilmington, DE: $149,800 - $171,000 for Manager, Product Management
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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