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Senior Bank Data Scientist Jobs (NOW HIRING)

Valley Bank

Data Scientist

Manhattan, NY · On-site

Perform challenging data queries, reconcile data, analyze results, and form conclusions for senior ... Knowledge and experience in the banking industry and banking systems. * Advanced knowledge of data ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Do you want to make a significant impact on complex banking problems and be a driving force in the ... As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ...

nCino OpCo

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Do you want to make a significant impact on complex banking problems and be a driving force in the ... As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ...

PTR Global

Sr. Data Scientist

Fort Worth, TX · On-site

$75 - $80/hr

THIS WAS CREATED BY AI, REVIEW BEFORE POSTING Position: Sr. Data Scientist Location: Fort Worth ... Provide sensitive financial information such as credit card numbers or banking information.

nCino

Senior Data Scientist

Lehi, UT · On-site

Job Summary : nCino is a leader in cloud banking, seeking a Senior Data Scientist to join their Data & AI team. The role involves collaborating with stakeholders to analyze datasets, extract insights ...

Fiserv, Inc.

Sr Data Scientist

Milwaukee, WI · On-site

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... Job Title Sr Data Scientist TITLE: Sr Data Scientist EMPLOYER: Fiserv Solutions, LLC LOCATION:

Launch Consulting

Senior Data Scientist

Chicago, IL · On-site

$140K - $180K/yr

For senior professionals ready to shape the future of AI and Data Science, your next big ... provide banking information during the application process and always double check the email ...

PROPRIUS

Senior Data Scientist

San Francisco, CA · On-site

Senior Data Scientist Location: San Francisco, CA Sponsorship: Yes Relocation: Yes Industry:Data Science Are you an experienced Data Scientist with 5+ years' experience who likes solving complex ...

Launch Consulting

Sr. Data Scientist

Bellevue, WA · On-site

$140K - $180K/yr

For senior professionals ready to shape the future of AI and Data Science, your next big ... provide banking information during the application process and always double check the email ...

Monitise

Senior Data Scientist

Alpharetta, GA · On-site

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... As a Senior Data Scientist, you will help shape the modeling, analytics, experimentation, and ...

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Senior Bank Data Scientist information

See salary details

$41.5K

$142.5K

$201K

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

As of Aug 7, 2026, the average yearly pay for senior bank data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

How does a senior bank data scientist typically collaborate with other departments to drive business value?

As a Senior Bank Data Scientist, you will frequently collaborate with cross-functional teams including IT, risk management, marketing, and product development. Your role involves translating complex data insights into actionable strategies, often presenting findings to stakeholders with varying technical backgrounds. Regular communication and teamwork are essential, as you'll work closely with business leaders to identify key opportunities, ensure data solutions align with organizational goals, and support regulatory compliance. This collaborative environment fosters innovation and allows you to see the direct impact of your work on the bank's performance.

What is the difference between Senior Bank Data Scientist vs Bank Data Analyst?

AspectSenior Bank Data ScientistBank Data Analyst
Required CredentialsAdvanced degree in Data Science, Statistics, or related field; experience with machine learningBachelor's or Master's in Finance, Economics, or related field; basic data analysis skills
Work EnvironmentDevelops predictive models, advanced analytics, and machine learning solutions in bankingPerforms data reporting, trend analysis, and basic data interpretation in banking
Employer & Industry UsageFinancial institutions, banks, fintech companiesBanking institutions, retail banks, credit unions

The Senior Bank Data Scientist focuses on advanced analytics, machine learning, and predictive modeling to drive strategic decisions, while the Bank Data Analyst handles routine data reporting and basic analysis. Both roles are essential in banking but differ in complexity and technical expertise.

What does a senior bank data scientist do?

A Senior Bank Data Scientist leverages advanced analytical, statistical, and machine learning techniques to analyze large volumes of financial data. They identify trends, detect fraudulent activity, optimize business operations, and support decision-making across various banking functions. Their work often involves collaborating with IT, risk, and business teams to develop predictive models, automate processes, and drive data-driven strategies that enhance profitability and customer experience.

What are the key skills and qualifications needed to thrive as a senior bank data scientist, and why are they important?

To thrive as a Senior Bank Data Scientist, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field such as computer science, mathematics, or engineering. Proficiency with programming languages like Python or R, experience with data visualization tools, and familiarity with big data platforms (e.g., Hadoop, Spark) are commonly required, along with certifications in data science or analytics. Strong problem-solving skills, business acumen, and effective communication help you translate complex data insights into actionable strategies for banking stakeholders. These skills are crucial for driving data-driven decision-making, optimizing financial services, and ensuring regulatory compliance in the banking sector.
What cities are hiring for Senior Bank Data Scientist jobs? Cities with the most Senior 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 Senior Bank Data Scientist jobs? States with the most job openings for Senior Bank Data Scientist jobs include:
Senior Bank Data Scientist jobs near you

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.

What Valley Bank employees say

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