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Data Science Bank Jobs in Nevada (NOW HIRING)

You will perform responsibilities in accordance with all Bank standards, policies, and procedures ... Bachelor's degree in computer science, Information Systems, Business Administration, or a related ...

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... AI/ML or data science. * Experience working with large-scale financial or transactional data is preferred. Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas.

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How much do data science bank jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data science bank in Nevada is $124,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $138,500.00 per year, depending on experience, location, and employer.

What does a data scientist do in a bank?

A Data Science professional in a bank leverages data analysis, statistical modeling, and machine learning to solve business problems and improve decision-making. Their work often involves analyzing customer behavior, detecting fraud, assessing credit risk, and optimizing marketing strategies. They collaborate with other departments to turn raw data into actionable insights, ensuring the bank remains competitive and compliant with regulations. By building predictive models and dashboards, they help the bank enhance efficiency, profitability, and customer satisfaction.

What are the key skills and qualifications needed to thrive as a data scientist in banking?

To thrive as a Data Scientist in banking, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with machine learning libraries, and knowledge of data visualization and big data platforms such as SQL, Hadoop, or Spark are crucial. Exceptional problem-solving abilities, attention to detail, and effective communication skills help you translate complex data insights into actionable strategies for non-technical stakeholders. These skills ensure accurate risk assessment, fraud detection, and data-driven decision-making in the highly regulated financial sector.

How does a data scientist at a bank typically contribute to cross-functional teams, and what collaboration challenges might they face?

As a Data Scientist in a banking environment, you will frequently collaborate with teams from IT, risk management, marketing, and business strategy to develop data-driven solutions. This might involve translating complex analytical findings into actionable insights for non-technical stakeholders or integrating models into existing business processes. Common challenges include aligning data science objectives with business goals, managing data privacy concerns, and ensuring clear communication across different departments. Building strong relationships and maintaining open communication channels are essential for overcoming these challenges and delivering impactful results.

What are popular job titles related to Data Science Bank jobs in Nevada?

For Data Science Bank jobs in Nevada, the most frequently searched job titles are:

Infographic showing various Data Science Bank job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,985 per year, or $60.1 per hour.

AI Governance Assurance - Data Science Practice

Barclays

Henderson, NV • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

Job Description

Purpose of the role

To collect, clean, analyse, and visualise data to identify potential risks, assess compliance with regulations, and provide valuable insights to auditors.

Accountabilities

  • Development and execution of data extraction strategies to gather relevant data from various sources, including internal systems, external databases, and third-party vendors.
  • Analysis of data to identify potential risks and control weaknesses.
  • Provision of data-driven insights and analysis to auditors throughout the audit process.
  • Supporting the development and testing of audit procedures based on data analysis results.
  • Implementation of data management processes to ensure data accessibility, security, and integrity.

Analyst Expectations

  • To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
  • Requires in-depth technical knowledge and experience in their assigned area of expertise
  • Thorough understanding of the underlying principles and concepts within the area of expertise
  • They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
  • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.
  • OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
  • Will have an impact on the work of related teams within the area.
  • Partner with other functions and business areas.
  • Takes responsibility for end results of a team's operational processing and activities.
  • Escalate breaches of policies / procedure appropriately.
  • Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
  • Advise and influence decision making within own area of expertise.
  • Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your workand areas of responsibility in line with relevant rules, regulation and codes of conduct.
  • Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
  • Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
  • Make evaluative judgements based on the analysis of factual information, paying attention to detail.
  • Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
  • Guide and persuade team members and communicate complex / sensitive information.
  • Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Embark on a transformative journey as an AI Governance Assurance - Data Science Practice.At Barclays, our vision is clear -to redefine the future of banking and help craft innovative solutions. This role provides an opportunity to gain exposure to AI, governance, risk, and controls while supporting a strategic and rapidly evolving area within the US Consumer Bank. You will work with a diverse group of stakeholders to help establish governance processes that enable innovation while maintaining appropriate oversight and accountability.

To be successful in this role, you should have experience with:

  • Understanding of the Artificial Intelligence (AI) lifecycle and governance requirements

  • Identifying and assessing risks, while ensuring compliance with applicable standards and policies

  • Executing governance assurance activities, including control reviews, evidence validation, issue identification, and remediation tracking across the AI lifecycle

  • Communicating governance requirements, risks, and recommendations clearly to both technical and non-technical stakeholders, including senior leadership

Some other highly valued skills may include:

  • Proactive, deliveryfocused approach with the ability to prioritize, and meet deadlines

  • Good influencing skills, including the ability to guide others without formal authority, supported by clear and effective writing capabilities

  • Effective communicator with interpersonal and influencing skills, able to engage and collaborate with diverse global stakeholders

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills.

This role is located in Wilmington, DE; Whippany, NJ; and Henderson, NV.

For Whippany, NJ only:

Minimum Salary: $ 80,000

Maximum Salary: $ 105,000

The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.

Barclays employees are eligible for a suite of competitive and generous employee benefits, including medical, dental and vision coverage, 401(k), life insurance, and other paid leave for qualifying circumstances.

This position is eligible for an incentive award.

For Henderson, NV only:

Minimum Salary: $ 80,000

Maximum Salary: $ 100,000

The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.