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Senior Bank Data Scientist Jobs (NOW HIRING)

Sr. Data Scientist

Bellevue, WA ยท 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 ...

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 ...

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 ...

Senior Data Scientist

Lehi, UT ยท On-site

$107.90 - $183.40/hr

Senior Data Scientist - Overview nCino's Data & AI team is seeking a Senior Data Scientist to build intelligent automation and insights for our global cloud banking platform. The role collaborates ...

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 ...

... a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a ... Drive best practices in data science. * Ensure data quality and integrity in all processes.

Data Scientist

Washington, DC ยท On-site

$90K - $130K/yr

Understand the structure of bank wire transfer data, including international formats from message ... Communicate project progress, support needs, and analytical output to senior management, clearly ...

Understand the structure of bank wire transfer data, including international formats from message ... Communicate project progress, support needs, and analytical output to senior management, clearly ...

Understand the structure of bank wire transfer data, including international formats from message ... Communicate project progress, support needs, and analytical output to senior management, clearly ...

Showing results 21-40

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 22, 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.

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.

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 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 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 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:

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance

San Ramon, CA โ€ข On-site

Full-time

Re-posted 8 days ago


Job description

Job Summary:
Berkshire Hathaway Specialty Insurance (BHSI) is a strategic and trusted insurance partner providing a broad range of commercial insurance coverages. They are seeking a Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics team, responsible for applying data science techniques to assess risk and develop models for various natural and man-made perils.
Responsibilities:
โ€ข Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.
โ€ข Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.
โ€ข Work with domain experts across teams and perils to enhance our use of available data.
โ€ข Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.
Qualifications:
Required:
โ€ข Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field
โ€ข Advanced knowledge of probability theory, statistics, and machine learning methods is required
โ€ข Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
โ€ข Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
โ€ข Strong written and verbal communication skills
โ€ข Comfort working within git-based version-control environments
โ€ข Highly motivated, detail oriented, and team player
Preferred:
โ€ข 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role
โ€ข Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
โ€ข Strong programming skills in Python (preferred), R, and SQL
โ€ข Experience and understanding of relational and non-relational databases preferred
โ€ข Experience with Databricks or other cloud-based data and analytics platforms preferred
Company:
Berkshire Hathaway Specialty Insurance is a company providing risk solutions and claims care. Founded in 2013, the company is headquartered in Boston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.