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Senior Bank Data Scientist Jobs (NOW HIRING)

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 ...

PROPRIUS

Senior Data Scientist

San Francisco, CA

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 ...

Monitise

Senior Data Scientist

Alpharetta, GA

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 ...

Shoptalk

Senior Data Scientist

Alpharetta, GA · On-site

$140 - $190/hr

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 ...

New

3M HEALTHCARE

Senior Data Scientist

Lehi, UT · 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 ...

New

Fiserv, Inc.

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 ...

PayPal

Sr Data Scientist

Chicago, IL · On-site

... 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.

Dynamis, Inc.

Data Scientist

Washington, DC · 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 ...

Leidos

Senior Data Scientist

Reston, VA · On-site

Leidos is seeking a Senior AI/Data Scientist to drive advanced AI development for a strategic Defense Threat Reduction Agency (DTRA) contract, executed in direct partnership with the Defense ...

Leidos

Senior Data Scientist

Reston, VA · On-site

Leidos is seeking a Senior AI/Data Scientist to drive advanced AI development for a strategic Defense Threat Reduction Agency (DTRA) contract, executed in direct partnership with the Defense ...

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All JobsBank Data Scientist JobsSenior Bank Data Scientist Jobs

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

Sr. Data Scientist

Launch Consulting

Bellevue, WA • On-site

$140K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description


Be a part of our success story. At Launch, we offer talented and driven professionals the opportunity to deliver high-impact work in a dynamic, fast-growing environment. We invest in our people through competitive compensation, exceptional benefits, internal growth pathways, and meaningful community involvement. For senior professionals ready to shape the future of AI and Data Science, your next big opportunity starts here.
The Role:
As a Senior Data Scientist, you will lead the design and development of advanced machine learning and AI solutions that solve complex business challenges. You'll apply a deep technical foundation in data science, spanning statistics, modeling, software engineering, and domain expertise, while helping set technical direction, mentor team members, and influence decision-making across the organization. You will work closely with stakeholders and cross-functional teams to define use cases, architect scalable solutions, and drive innovation through GenAI, LLMs, NLP, computer vision, and other cutting-edge techniques.
Key Responsibilities:
  • Lead advanced Data Science initiatives from ideation to deployment, ensuring alignment with business strategy and measurable outcomes.
  • Develop, implement, and optimize AI/ML models across a range of domains, including predictive analytics, GenAI, LLMs, time series, deep learning, and NLP.
  • Conduct rigorous exploratory data analysis and feature engineering to uncover insights and support robust model development.
  • Architect data preprocessing pipelines that ensure clean, high-quality, and well-structured data for training and evaluation.
  • Apply experimental design best practices (e.g. A/B testing, cross-validation, randomization) to ensure statistical rigor and reduce model bias/overfitting.
  • Own the deployment and monitoring of ML solutions on modern cloud platforms (Databricks, AWS SageMaker, Azure ML, Snowflake, etc.).
  • Serve as a technical advisor and thought leader, guiding internal stakeholders on AI capabilities, data strategy, and industry best practices.
  • Mentor and support the development of junior and mid-level data scientists through code reviews, pair programming, and knowledge sharing.
  • Communicate effectively across technical and non-technical audiences, including executive leadership, to influence and drive adoption of data-driven solutions.

Required Qualifications:
  • 7+ years of hands-on experience in Data Science, with a strong track record of delivering end-to-end AI/ML solutions in production environments.
  • Deep expertise in Python, including libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, spaCy, and/or Hugging Face.
  • Strong understanding of statistical modeling, regression, classification, clustering, and deep learning architectures.
  • Demonstrated experience applying GenAI, LLMs, NLP, or computer vision techniques to solve real-world business problems.
  • Proven ability to write advanced SQL and work with complex data structures across relational and non-relational databases.
  • Experience with data pipeline orchestration and preprocessing of structured and unstructured data at scale.
  • Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry.
  • Strong stakeholder management skills and the ability to thrive in a high-paced, constantly evolving environment.
  • Excellent verbal and written communication skills, including the ability to present complex technical concepts clearly and persuasively.

Preferred Qualifications:
  • Experience with project delivery frameworks and tools such as Azure DevOps, JIRA, or Agile methodologies.
  • Experience working with Electronic Medical Record systems and healthcare data file types (e.g., HL7, FHIR, CCD).
  • Certifications related to Epic, FHIR, or other health IT platforms are a plus.
  • Familiarity with data architecture tools (e.g., Miro, Visio, LucidChart) for technical design documentation.
  • Knowledge of modern cloud-based data solutions such as Azure Synapse, Snowflake, Redshift, or BigQuery.

Benefits & Compensation:
As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits - medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated wage range for this role is $140,000-180,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.
The consulting industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the recruiter to ensure it's from @launchcg.com - and not a domain with an alternative extension like .net, .org or .jobs. Candidate safety is a top priority at Launch.
Launch Consulting is an equal opportunity employer. It is our practice not to discriminate against any employee or applicant based on any criteria, condition or basis protected by laws or regulations in the locations where we do business. All qualified applicants are encouraged to apply. We celebrate diversity and are committed to providing an environment of mutual respect. We believe that diversity, equity and inclusion enable us to better meet our mission and values while serving our clients across the globe. If you have a disability or handicap and would like us to accommodate you in any reasonable way, please inform your Launch representative, or contact us, so that we can discuss the appropriate alternatives available.

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