ZipRecruiter

Log In

1

Bank Computer Science Jobs in Utah (NOW HIRING)

nCino

Senior Data Scientist

Lehi, UT · On-site

Required : • Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a ... banking platform that helps financial institutions modernize their operations and improve the ...

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 ... Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field ...

nCino OpCo

Senior Data Scientist

Lehi, UT

$107K - $183K/yr

Do you want to make a significant impact on complex banking problems and be a driving force in the ... Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field ...

TAB Bank

Software Engineer IV

Ogden, UT · On-site

Bachelor's degree in Computer Science, Software or Computer Engineering, Data Science, Other STEM ... Bank will not sponsor applicants for work visas.

Bread Financial

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Experience in bank card/credit card business, consulting, retail, marketing, loyalty, and/or ...

Fortis Bank

Information Security Officer

Midvale, UT · On-site

$190K - $200K/yr

... Computer Science, or a related field; Master's degree preferred. * Minimum of 7-10 years of experience in information security, with at least 3 years in a leadership role within the banking or ...

next page

Showing results 1-20

All JobsBank Computer Science JobsBank Computer Science Jobs in Utah

Bank Computer Science information

How does a Computer Science professional typically collaborate with other departments in a banking environment?

In a banking environment, Computer Science professionals frequently work alongside teams from risk management, compliance, operations, and customer service to develop, test, and maintain secure and efficient banking systems. Collaboration often involves gathering requirements, troubleshooting issues, and integrating new technologies to support business goals. Effective communication and understanding of banking regulations are key, as projects may involve cross-functional meetings and ongoing coordination to ensure technological solutions align with industry standards and client needs.

What are the key skills and qualifications needed to thrive as a Bank Computer Science professional, and why are they important?

To succeed as a Bank Computer Science professional, you need a solid background in computer science, programming languages (such as Java or Python), and knowledge of banking systems, often supported by a relevant degree. Familiarity with core banking software, cybersecurity practices, databases, and sometimes certifications like CISSP or CISM are typically required. Strong analytical thinking, attention to detail, and effective teamwork help address complex technical challenges and ensure secure, efficient operations. These skills are crucial for maintaining robust financial systems, safeguarding sensitive data, and supporting innovative banking solutions.

What is a Bank Computer Scientist?

A Bank Computer Scientist is a technology professional who specializes in designing, developing, and maintaining computer systems and software used within the banking sector. Their responsibilities include ensuring the security of financial transactions, developing algorithms for fraud detection, and implementing reliable banking applications. They work closely with IT and security teams to keep banking systems running efficiently and securely. Their expertise helps banks adapt to new technologies and meet regulatory requirements.

What is the difference between Bank Computer Science vs Bank IT Specialist?

AspectBank Computer ScienceBank IT Specialist
Required CredentialsBachelor's in Computer Science or related field, certifications like CompTIA, CiscoSimilar certifications, often with additional focus on network or security certifications
Work EnvironmentBank IT departments, software development teams, cybersecurity unitsBank branches, data centers, IT support teams within banks
Employer & Industry UsageFinancial institutions, banks, fintech companiesBanking institutions, financial service providers
Common Search & Comparison IntentUnderstanding roles in banking tech, career paths in bank ITJob responsibilities, certifications, and skills for bank IT roles

Bank Computer Science focuses on software development, system analysis, and cybersecurity within banks, often requiring programming skills and advanced technical knowledge. Bank IT Specialist typically handles hardware, network support, and troubleshooting in banking environments. Both roles share similar credentials and industry usage but differ in daily responsibilities and technical focus.

What are popular job titles related to Bank Computer Science jobs in Utah? For Bank Computer Science jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Bank Computer Science jobs in Utah look for? The top searched job categories for Bank Computer Science jobs in Utah are:
What cities in Utah are hiring for Bank Computer Science jobs? Cities in Utah with the most Bank Computer Science job openings:
Bank Computer Science jobs near you
Infographic showing various Bank Computer Science job openings in Utah as of July 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 93% Physical, 4% Hybrid, and 3% Remote job distribution.

Senior Data Scientist

nCino

Lehi, UT • On-site

Full-time

Re-posted 24 days ago

Job description

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, and develop data-driven solutions to enhance banking products and services.
Responsibilities:
• Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages
• Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to solve business problems
• Experience in large data sets and algorithms
• Considers and analyzes information from multiple data sources, including experience and input from others when determining the best approach for routine and non-routine problems
• Ability to prototype ideas and demonstrate pros and cons in a clear and concise manner
• Understanding of data science priorities and how each contributes to the success of nCino
• Demonstrates ability to acquire domain knowledge of the business and effectively applies this expertise to inform model development and problem-solving approaches
• Extensive experience in developing, deploying, and monitoring complex machine learning models
• Lead and guide teams in implementing programming best practices and adopting emerging technologies
• Leverage AI tools and techniques to enhance software development activities, including code generation, testing, debugging, and optimization.
• Apply AI insights to identify patterns, automate repetitive tasks, and improve overall development efficiency and product quality.
• Evaluate and integrate AI/ML capabilities where appropriate to strengthen product functionality and user experience.
• Maintain awareness of emerging AI trends and best practices to inform continuous learning and innovation.
Qualifications:
Required:
• Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field with 5+ years of related experience or combination of experience and education
• Demonstrated mastery of programming skills in Python or R
• Experience with data visualization tools (DOMO, AWS Quicksight, Tableau, etc.)
• Demonstrated mastery of machine learning algorithms and techniques
• Strong problem-solving skills and ability to work independently and collaboratively
• Strong experience with SQL or noSQL and database management systems
• Experience deploying and monitoring models in production
• Strong understanding of the business domain
• Ability to translate business questions into analytics projects and deliver actionable insights
• Flexibility and the ability to be productive in a fast-paced, team environment
• Excellent verbal and written communication skills for technical and non-technical audiences
• Familiarity with production code practices, including unit testing, object-oriented programming (OOP), error handling, logging, contract testing, and version control
Preferred:
• Advanced degree in Data Science, Statistics, Mathematics, Computer Science or a related field
• Experience developing and deploying models using Databricks and mlflow
• Experience with AWS tools and services, including Lambda, Sagemaker, S3, Athena, Quicksight
• Experience with Agile software development
Company:
nCino provides a cloud banking platform that helps financial institutions modernize their operations and improve the customer experience. Founded in 2012, the company is headquartered in Wilmington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Apply