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Bank Data Scientist Jobs (NOW HIRING)

AS TRADE LLC

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 ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... banking, Insurance and credit union business in achieve their business goals. Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services ...

AS TRADE LLC

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 ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... banking, Insurance and credit union business in achieve their business goals. Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services ...

US Bank

Data Scientist

Earth City, MO

$111K - $131K/yr

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Define enterprise data standards, metadata management practices, and data governance processes.

Federal Reserve System

Lead Data Scientist

Dallas, TX · On-site

The Federal Reserve Bank of Dallas is looking for a versatile Lead Data Scientist to work within the Banking Supervision, Surveillance and Policy Analysis team. As the Lead Data Scientist, you will ...

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

$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 ...

Federal Reserve System

Data Scientist

New York, NY · On-site

$170K - $230K/yr

Company Federal Reserve Bank of New York When you work at the New York Fed, you have the ... The data scientist has extensive experience applying advanced analytics skills and techniques and ...

Barclays

Compliance Data Scientist

New York, NY · On-site

... bank's data reserves, leveraging these insights to inform strategic decision-making, improve ... Barclays Services Corp. seeks Compliance Data Scientist in New York, NY (multiple positions ...

loomis

Data Scientist

Suwanee, GA

Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...

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All JobsBank Data Scientist Jobs

Bank Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do bank data scientist jobs pay per year?

As of Jul 16, 2026, the average yearly pay for 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 is the salary of data scientist in JP Morgan?

The salary of a data scientist at JP Morgan typically ranges from $80,000 to $150,000 annually, depending on experience, location, and level. Entry-level positions may start lower, while experienced data scientists with advanced skills in machine learning and data analysis can earn higher compensation. Benefits often include bonuses, health insurance, and professional development opportunities.

Is 40 too late for data science?

A career as a data scientist can be pursued at any age, including 40, as the field values skills in programming, statistics, and data analysis. Many professionals transition into data science later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

What are some common projects or challenges a Bank Data Scientist might work on?

Bank Data Scientists often work on projects involving credit risk modeling, fraud detection, customer segmentation, and predictive analytics for loan approvals or marketing campaigns. A common challenge is ensuring data quality and regulatory compliance while handling large, sensitive financial datasets. Collaboration with business analysts, IT teams, and compliance officers is frequent, and the role requires translating complex analytics into solutions that directly impact banking operations and customer experience. Overcoming these challenges is key to optimizing business outcomes and maintaining competitive advantage in the banking sector.

What is a Bank Data Scientist job?

A Bank Data Scientist analyzes financial data to identify trends, detect fraud, assess risks, and improve banking operations. They use machine learning, statistical models, and big data techniques to provide insights that help in decision-making. Their work supports areas such as customer analytics, credit scoring, and regulatory compliance. Strong programming skills in Python, R, or SQL and knowledge of finance and risk management are essential for success in this role.

How much does a data scientist at a bank make?

A data scientist at a bank 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 or financial modeling can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses and benefits related to the financial industry environment.

Can a data scientist work in a bank?

Yes, a data scientist can work in a bank, where they analyze financial data, develop models for risk assessment, fraud detection, and customer insights. Strong skills in statistics, programming, and tools like Python or R are essential, along with understanding banking regulations and financial products.

What are the key skills and qualifications needed to thrive in the Bank Data Scientist position, and why are they important?

To thrive as a Bank Data Scientist, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field such as mathematics, economics, or computer science. Familiarity with tools like Python, R, SQL, and big data platforms, as well as certifications such as SAS or Data Science credentials, is often required. Strong communication, problem-solving, and collaboration skills are crucial for translating complex data insights into actionable strategies for cross-functional teams. These capabilities enable you to drive data-driven decision-making, ensure regulatory compliance, and support business growth in the banking industry.

More about Bank Data Scientist jobs
What cities are hiring for Bank Data Scientist jobs? Cities with the most 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 Bank Data Scientist jobs? States with the most job openings for Bank Data Scientist jobs include:
What job categories do people searching Bank Data Scientist jobs look for? The top searched job categories for Bank Data Scientist jobs are:
Bank Data Scientist jobs near you
Infographic showing various Bank Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

Indotronix International Corporation

Columbus, OH • On-site

Full-time

Re-posted 15 days ago

Job description

Data Scientist | Columbus, Ohio, United States Job Summary: Senior Data Scientist - Enterprise Analytics (Banking) Location: Columbus, OH (Remote flexibility) | Job Type: C2C About the Role Join a high-performing Enterprise Analytics team at a leading banking institution as a Senior Data Scientist. Fuel organizational growth through advanced analytics, data-driven insights, and opportunity discovery. Collaborate with cross-functional teams-including Product, Marketing, Data, Finance, and senior leadership-to optimize customer experience, drive business value, and influence strategic decisions. This is a highly visible role where you will leverage your technical expertise and communication skills to shape business outcomes in a fast-paced, innovative environment. Responsibilities - Design and implement advanced analytics and machine learning models to extract actionable insights from complex business data. - Conduct large-scale experimentation and build data-driven models to answer strategic business questions. - Research and apply emerging techniques in machine learning, deep learning, and artificial intelligence. - Collaborate with business segments to identify opportunities for optimization and customer value delivery. - Translate analytical findings into intuitive data visualizations and persuasive presentations for stakeholders and senior leadership. - Partner with Agile teams throughout the project lifecycle, from ideation to delivery, on high-impact, enterprise-wide projects. - Stay current on new technologies and tools to continuously improve analytics capabilities and solutions. - Perform additional analytics duties as assigned to support organizational goals. Required Skills and Experience - Proficiency in Python and SQL for data analysis, modeling, and pipeline development. - Strong analytical and statistical expertise, comfortable working with predictive models and large datasets. - Experience communicating technical findings to business partners and non-technical audiences. - Master's degree (or completed by Spring 2025) in Computer Science, Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a related STEM field; OR Bachelor's degree with 3+ years' experience in analytics or data science. - Hands-on experience with R, RStudio, SAS, and advanced statistical software. Preferred Skills - Knowledge of machine learning methodologies, predictive modeling, and Bayesian inference. - Experience with big data tools, both structured and unstructured data sources, and scalable data pipelines. - Familiarity with cloud ML technologies (e.g., AWS SageMaker), machine learning environments (e.g., TensorFlow, scikit-learn, caret), and web scraping. - Background in financial services or consumer-centric organizations. - Experience with data visualization tools (Tableau, Adobe Analytics/Target). Benefits - Work alongside a talented, collaborative, and centralized team of data science professionals. - Influence strategic decisions and drive growth at an enterprise level. - Exposure to cutting-edge analytics tools, technologies, and methodologies. - Fast-paced, dynamic environment with significant opportunities for learning and professional advancement. - Impactful projects with visibility to senior leadership and cross-functional partners. How to Apply If you are passionate about leveraging data to drive business value and ready to make a significant impact, we want to hear from you. Submit your resume highlighting your analytics, modeling, and communication skills. Candidates must be authorized to work without sponsorship. Background check and drug screen required.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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