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Bank Data Scientist Jobs (NOW HIRING)

Knowledge and experience in the banking industry and banking systems. * Advanced knowledge of data ... The Data Scientist will have strong collaboration and communication skills to effectively partner ...

Senior Data Scientist

Cary, NC · On-site

$140 - $200/hr

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions ... As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ...

Posted today

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions ... As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ...

New

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions ... As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ...

New

At Bank of America, we are guided by a common purpose to help make financial lives better through ... The data science team (within GPS) is working on more than five projects that are driving/will ...

Data Scientist II

Manhattan, NY · On-site

$165 - $246.20/hr

Overview At Bank of America, we are guided by a common purpose to help make financial lives better ... The data science team (within GPS) is working on more than five projects that are driving/will ...

... 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 ...

Data Scientist

Washington, DC · On-site

$90K - $130K/yr

Dynamis is seeking a Data Scientist to support FinCEN's Global Investigations Division (GID). The ... Understand the structure of bank wire transfer data, including international formats from message ...

... 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 ...

Data Scientist

Washington, DC · On-site

$90K - $130K/yr

Dynamis is seeking a Data Scientist to support FinCEN's Global Investigations Division (GID). The ... Understand the structure of bank wire transfer data, including international formats from message ...

Dynamis is seeking a Data Scientist to support FinCEN's Global Investigations Division (GID). The ... Understand the structure of bank wire transfer data, including international formats from message ...

Principal Data Scientist (US)

Southfield, MI · On-site +1

$148K - $223K/yr

In addition, the Principal Data Scientist provides technical expertise with a focus on bank and industry-wide solutions that addresses capability gaps to create opportunities for significant value ...

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Bank Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do bank data scientist jobs pay per year?

As of Aug 7, 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 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?

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.

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:
Infographic showing various Bank Data Scientist job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Valley Bank

Manhattan, NY • On-site

Full-time

Posted 14 days ago


Valley Bank rating

7.3

Company rating: 7.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

113th of 170 rated banks


Job description

Responsibilities include, but are not limited to:
  • Interpret business needs and requirements and independently perform analysis and/or build reports and dashboards to meet requirements.
  • Translate analysis findings and technical topics, visualize data to explain results to a non-technical business audience and senior management.
  • Identify new data capabilities to enable strategic objectives, partner with data enablement team to build solutions.
  • Interact independently with business partners on data needs and respond to data requests.
  • Perform challenging data queries, reconcile data, analyze results, and form conclusions for senior management.
  • Drive a strong data-driven culture within the company by mentoring data analysts and increasing data capabilities in other internal functions.

Required Skills:
  • Hands-on experience in data modelling, data engineering and data analysis tools such as BI tools, Power BI, SQL, Python (pandas, numpy).
  • Working knowledge in developing reports and dashboards in Power BI or Tableau.
  • Strong communication, organizational and interpersonal skills, as well as the ability to prioritize and execute multiple objectives.
  • Ability to identify key insights and present results to a business audience.
  • Preferred experience in mapping techniques, such as calculating distances and routes, as well as ability to build custom market and demographic maps.
  • Awareness of latest trends in data analytics.
  • Knowledge and experience in the banking industry and banking systems.
  • Advanced knowledge of data structures and the ability to visualize data effectively to communicate to a business audience.
  • The Data Scientist will have strong collaboration and communication skills to effectively partner with other data teams and business partners.

Required Experience:
  • Bachelor's degree in a quantitative discipline, such as Business Analytics, Data Science, Mathematics, Econometrics, Engineering, Sciences.
  • Miniumum of 3 years working in a data analytics role with hands-on experience in wrangling large data sets, conducting data analysis and developing insights from data.
  • Experience working independently with business partners and diverse corporate functions.

Preferred Experience:
  • Master's degree in a quantitative discipline.
  • Financial Services experience and knowledge of Retail/Commercial Banking industry, products, and data highly desired.

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