Senior Manager, Data Science, Bank Operations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer ...
Senior Manager, Data Science, Bank Operations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer ...
Senior Manager, Data Science, Bank Operations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer ...
Senior Manager, Data Science, Bank Operations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer ...
Senior Manager, Data Science, Bank Operations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer ...
Senior Manager, Data Science, Bank Operations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer ...
Team DescriptionThe Bank Operations Data Science team builds the machine learning models that help provide core capabilities internally such as Check/Document Reading, Anomaly Identification, Natural ...
Team DescriptionThe Bank Operations Data Science team builds the machine learning models that help provide core capabilities internally such as Check/Document Reading, Anomaly Identification, Natural ...
Principal Associate, Data Scientist - Bank Operations Data Science
Mclean, VA · On-site
$59K - $60K/yr
Team Description The Bank Operations Data Science team builds the machine learning models that help provide core capabilities internally such as Check/Document Reading, Anomaly Identification ...
Principal Associate, Data Scientist - Bank Operations Data Science
Mclean, VA · On-site
$59K - $60K/yr
Team Description The Bank Operations Data Science team builds the machine learning models that help provide core capabilities internally such as Check/Document Reading, Anomaly Identification ...
Principal Associate, Data Scientist - Bank Operations Data Science
Mclean, VA · On-site
$59K - $60K/yr
Team Description The Bank Operations Data Science team builds the machine learning models that help provide core capabilities internally such as Check/Document Reading, Anomaly Identification ...
Principal Associate, Data Scientist - Bank Operations Data Science
Mclean, VA · On-site
$59K - $60K/yr
Team Description The Bank Operations Data Science team builds the machine learning models that help provide core capabilities internally such as Check/Document Reading, Anomaly Identification ...
Director of Data Science
Dallas, TX · On-site
TBK Bank, SSB is seeking a Director of Data Science to design, build, and operationalize quantitative models that power both internal and customer-facing intelligence solutions. This role focuses on ...
Director of Data Science
Dallas, TX · On-site
TBK Bank, SSB is seeking a Director of Data Science to design, build, and operationalize quantitative models that power both internal and customer-facing intelligence solutions. This role focuses on ...
Director, Data Science
New York, NY · Hybrid
... bank and other financial services partners. * Manage the data science projects in an Agile environment, provide coaching and mentorship to team members as needed * Establish Data Science role models ...
Director, Data Science
New York, NY · Hybrid
... bank and other financial services partners. * Manage the data science projects in an Agile environment, provide coaching and mentorship to team members as needed * Establish Data Science role models ...
Director of Data Science
Dallas, TX · On-site
They are looking for a Director of Data Science to design and operationalize quantitative models ... A State Savings Bank headquartered in Dallas, Texas, TBK Bank is a subsidiary of Triumph Financial ...
Director of Data Science
Dallas, TX · On-site
They are looking for a Director of Data Science to design and operationalize quantitative models ... A State Savings Bank headquartered in Dallas, Texas, TBK Bank is a subsidiary of Triumph Financial ...
Merrick Bank ranks among the top 20 FDIC ® -insured credit card issuers in the U.S. and among the top 15 merchant acquirers by transaction volume. Data Scientists build and maintain machine learning ...
Merrick Bank ranks among the top 20 FDIC ® -insured credit card issuers in the U.S. and among the top 15 merchant acquirers by transaction volume. Data Scientists build and maintain machine learning ...
Data Science Managers
Piscataway, NJ · On-site
... Bank (RCSB PDB, RCSB.org) and the opportunity to be part of a leadership team building a new ... data science, artificial intelligence, and cyberinfrastructure initiative. We are seeking an expert ...
Data Science Managers
Piscataway, NJ · On-site
... Bank (RCSB PDB, RCSB.org) and the opportunity to be part of a leadership team building a new ... data science, artificial intelligence, and cyberinfrastructure initiative. We are seeking an expert ...
About the Role Happen Bank's Decision Science group is seeking an innovative and highly experienced quantitative data science leader to join us as our VP, Modeling & Data Science. This pivotal role ...
About the Role Happen Bank's Decision Science group is seeking an innovative and highly experienced quantitative data science leader to join us as our VP, Modeling & Data Science. This pivotal role ...
Team Description Bank Operations Data Science builds machine learning models that provide core capabilities such as Check/Document Reading, Anomaly Identification, Natural Language Processing of ...
Team Description Bank Operations Data Science builds machine learning models that provide core capabilities such as Check/Document Reading, Anomaly Identification, Natural Language Processing of ...
Data Scientist
Manhattan, NY · On-site
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 ...
Data Scientist
Manhattan, NY · On-site
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 ...
Data Scientist
Dallas, TX · On-site
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 ...
Data Scientist
Dallas, TX · On-site
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 ...
Merrick Bank ranks among the top 20 FDIC-insured credit card issuers in the U.S. and among the top 15 merchant acquirers by transaction volume. Data Scientists build and maintain machine learning and ...
Merrick Bank ranks among the top 20 FDIC-insured credit card issuers in the U.S. and among the top 15 merchant acquirers by transaction volume. Data Scientists build and maintain machine learning and ...
Team Description The Marketing & Valuations Data Science Team in the Retail Bank builds models that improve marketing efficiency and drive account growth via intelligent targeting, measurement ...
Team Description The Marketing & Valuations Data Science Team in the Retail Bank builds models that improve marketing efficiency and drive account growth via intelligent targeting, measurement ...
Principal Associate, Data Scientist - Retail Bank Valuations Data Science
Mclean, VA · On-site
$59K - $60K/yr
Team Description The Marketing & Valuations Data Science Team in the Retail Bank builds models that improve marketing efficiency and drive account growth via intelligent targeting, measurement ...
Principal Associate, Data Scientist - Retail Bank Valuations Data Science
Mclean, VA · On-site
$59K - $60K/yr
Team Description The Marketing & Valuations Data Science Team in the Retail Bank builds models that improve marketing efficiency and drive account growth via intelligent targeting, measurement ...
About the Role Happen Bank's Decision Science group is seeking an innovative and highly experienced quantitative data science leader to join us as our VP, Modeling & Data Science. This pivotal role ...
About the Role Happen Bank's Decision Science group is seeking an innovative and highly experienced quantitative data science leader to join us as our VP, Modeling & Data Science. This pivotal role ...
Manager Data Science
$115K - $192K/yr
The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... We never request money or banking details from job applicants. Learn more about spotting and ...
Manager Data Science
$115K - $192K/yr
The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... We never request money or banking details from job applicants. Learn more about spotting and ...
Data Science Bank information
See salary details
$37.5K - $52K
2% of jobs
$52K - $66.4K
3% of jobs
$66.4K - $80.9K
6% of jobs
$80.9K - $95.3K
9% of jobs
$100K is the 25th percentile. Wages below this are outliers.
$95.3K - $109.8K
15% of jobs
The median wage is $119.4K / yr.
$109.8K - $124.2K
22% of jobs
$132.2K is the 75th percentile. Wages above this are outliers.
$124.2K - $138.7K
32% of jobs
$138.7K - $153.1K
3% of jobs
$153.1K - $167.6K
4% of jobs
$167.6K - $182K
1% of jobs
$182K - $196.5K
2% of jobs
$37.5K
$122.7K
$196.5K
How much do data science bank jobs pay per year?
As of Jul 14, 2026, the average yearly pay for data science bank 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 a Data Scientist in banking, and why are they important?
To thrive as a Data Scientist in banking, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with machine learning libraries, and knowledge of data visualization and big data platforms such as SQL, Hadoop, or Spark are crucial. Exceptional problem-solving abilities, attention to detail, and effective communication skills help you translate complex data insights into actionable strategies for non-technical stakeholders. These skills ensure accurate risk assessment, fraud detection, and data-driven decision-making in the highly regulated financial sector.
What is the role of data science in banking?
Data science in banking involves analyzing large datasets to improve decision-making, detect fraud, assess credit risk, and personalize customer services. Data scientists use tools like machine learning and statistical models to optimize operations and develop predictive insights within the financial environment.
Do data scientists work at banks?
Yes, data scientists work at banks to analyze financial data, develop predictive models, and improve decision-making processes. They often use tools like Python, R, and SQL and may require knowledge of finance and machine learning techniques.
What does a Data Science professional do in a bank?
A Data Science professional in a bank leverages data analysis, statistical modeling, and machine learning to solve business problems and improve decision-making. Their work often involves analyzing customer behavior, detecting fraud, assessing credit risk, and optimizing marketing strategies. They collaborate with other departments to turn raw data into actionable insights, ensuring the bank remains competitive and compliant with regulations. By building predictive models and dashboards, they help the bank enhance efficiency, profitability, and customer satisfaction.
What is the salary of a bank data scientist?
A bank data scientist typically earns between $80,000 and $130,000 annually, depending on experience, location, and education. Senior roles or those with specialized skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.
Is 40 too late for data science?
Data science roles are open to candidates of all ages, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.
How does a Data Scientist at a bank typically contribute to cross-functional teams, and what collaboration challenges might they face?
As a Data Scientist in a banking environment, you will frequently collaborate with teams from IT, risk management, marketing, and business strategy to develop data-driven solutions. This might involve translating complex analytical findings into actionable insights for non-technical stakeholders or integrating models into existing business processes. Common challenges include aligning data science objectives with business goals, managing data privacy concerns, and ensuring clear communication across different departments. Building strong relationships and maintaining open communication channels are essential for overcoming these challenges and delivering impactful results.
More about Data Science Bank jobs
What cities are hiring for Data Science Bank jobs? Cities with the most Data Science Bank job openings:
What states have the most Data Science Bank jobs? States with the most job openings for Data Science Bank jobs include:
What job categories do people searching Data Science Bank jobs look for? The top searched job categories for Data Science Bank jobs are:
Full-time
Posted yesterday
Capital One rating
7.8
Based on 143 frontline employees who took The Breakroom Quiz
76th of 149 rated banks
Job description
Senior Manager, Data Science, Bank Operations
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Bank Operations Data Science team builds the machine learning models that help provide core capabilities internally such as Check/Document Reading, Anomaly Identification, Natural Language Processing of Calls, and operational forecasting. We build ground-breaking industry leading models using emerging technologies like neural networks, LLMs, transformer architectures, and agentic experiences.
Role Description
In this role, you will:
The Ideal Candidate is:
Basic Qualifications:
Preferred Qualifications:
Capital One will consider sponsoring a new qualified 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: $229,900 - $262,400 for Sr Mgr, Data Science
New York, NY: $250,800 - $286,200 for Sr Mgr, Data Science
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).
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Bank Operations Data Science team builds the machine learning models that help provide core capabilities internally such as Check/Document Reading, Anomaly Identification, Natural Language Processing of Calls, and operational forecasting. We build ground-breaking industry leading models using emerging technologies like neural networks, LLMs, transformer architectures, and agentic experiences.
Role Description
In this role, you will:
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
- Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
- Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.
- A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.
- Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Basic Qualifications:
- 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, or a related quantitative field) plus 7 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
- At least 2 years of experience leveraging open source programming languages for large scale data analysis
- At least 2 years of experience working with machine learning
- At least 2 years of experience utilizing relational databases
Preferred Qualifications:
- PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics
- At least 1 year of experience working with AWS
- At least 1 year of experience managing people
- At least 5 years' experience in Python, Scala, or R for large scale data analysis
- At least 5 years' experience with machine learning
Capital One will consider sponsoring a new qualified 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: $229,900 - $262,400 for Sr Mgr, Data Science
New York, NY: $250,800 - $286,200 for Sr Mgr, Data Science
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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