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Bank Data Scientist Jobs in Arizona (NOW HIRING)

... of banking and product knowledge, statistical techniques, and machine learning/optimization ... data science project methodologies • Strong Data analysis Skills • Thought Leadership skills ...

... in Banking/Finance industry is preferred • Experience with ETL and data modeling tools is a plus • Working knowledge with Tableau is a plus Company : 1872 Consulting is a recruitment and ...

As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ... This is a must. (Experience in a regulated industry like banking with hands-on compliance work is a ...

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ... This is a must. (Experience in a regulated industry like banking with hands-on compliance work is a ...

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ... This is a must. (Experience in a regulated industry like banking with hands-on compliance work is a ...

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ... This is a must. (Experience in a regulated industry like banking with hands-on compliance work is a ...

Sr Data Scientist

Scottsdale, AZ · On-site

$123K - $183K/yr

... 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.

The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank ...

The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank ...

The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank ...

The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank ...

$66.75 - $89.25/hr

Computer Science, Data Science, or related field Preferred Area of Experience:Machine learning ... Financial Services or Banking industry experience. * Experience modernizing legacy data warehouse ...

$66.75 - $89.25/hr

Computer Science, Data Science, or related field Preferred Area of Experience:Machine learning ... Financial Services or Banking industry experience. * Experience modernizing legacy data warehouse ...

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Bank Data Scientist information

What is a bank data scientist?

A Bank Data Scientist analyzes financial data to identify trends, detect fraud, assess risks, and improve banking operations. They use machine learning, statistical models, and big data techniques to provide insights that help in decision-making. Their work supports areas such as customer analytics, credit scoring, and regulatory compliance. Strong programming skills in Python, R, or SQL and knowledge of finance and risk management are essential for success in this role.

What are some common projects or challenges a bank data scientist might work on?

Bank Data Scientists often work on projects involving credit risk modeling, fraud detection, customer segmentation, and predictive analytics for loan approvals or marketing campaigns. A common challenge is ensuring data quality and regulatory compliance while handling large, sensitive financial datasets. Collaboration with business analysts, IT teams, and compliance officers is frequent, and the role requires translating complex analytics into solutions that directly impact banking operations and customer experience. Overcoming these challenges is key to optimizing business outcomes and maintaining competitive advantage in the banking sector.

What are the key skills and qualifications needed to thrive in the bank data scientist position, and why are they important?

To thrive as a Bank Data Scientist, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field such as mathematics, economics, or computer science. Familiarity with tools like Python, R, SQL, and big data platforms, as well as certifications such as SAS or Data Science credentials, is often required. Strong communication, problem-solving, and collaboration skills are crucial for translating complex data insights into actionable strategies for cross-functional teams. These capabilities enable you to drive data-driven decision-making, ensure regulatory compliance, and support business growth in the banking industry.

What are the most commonly searched types of Bank Data Scientist jobs in Arizona?

The most popular types of Bank Data Scientist jobs in Arizona are:

What are popular job titles related to Bank Data Scientist jobs in Arizona?

For Bank Data Scientist jobs in Arizona, the most frequently searched job titles are:

What cities in Arizona are hiring for Bank Data Scientist jobs?

Cities in Arizona with the most Bank Data Scientist job openings:

Infographic showing various Bank Data Scientist job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Data Scientist

Tempe, AZ • On-site

1872 Consulting
IT Services • 11 - 50 employees

Full-time

Re-posted 29 days ago


Job description

Job Summary:
1872 Consulting is a company seeking a Data Scientist to produce analytics that drive product decisions and maximize revenue. The role involves supporting product teams with data-driven insights, automating reporting processes, and collaborating with various teams to resolve business problems.
Responsibilities:
• Produce essential analytics that enable product decisions to maximize revenue (e.g., pricing optimization and segmentation), support product initiatives (i.e., analytics that support agile initiative sizing or adjustments when needed), and provide deep understanding of rising trends
• Support product advisors and sales teams by identifying potential risks and opportunities via data-driven analytics
• Automate recurring reporting and empower partners to self-serve for regular data and analysis needs
• Develop efficient and scalable processes by leveraging data skills and visualization tools (Tableau, etc.) that empower Product Management team and partners to self-serve for regular data and analysis needs
• Research, analyze, and interpret large data sets to develop data-driven insights
• Partner with teams such as product analytic specialists, product managers, business managers, and other analytical teammates to understand data and resolve business problems
• Translate business issues into data problems and use analytics to provide actionable solutions/recommendations that support overall product strategy
• Exercise creativity, critical thinking, analytical thinking, and collaboration to solve problems
• Develop spreadsheet and/or statistical models using a combination of banking and product knowledge, statistical techniques, and machine learning/optimization techniques
• Assist in querying data and creating metrics for product performance monitoring and analysis
• Lead and support data needs for special projects
• Participate in strategic planning of projects and initiatives
• Apply sound judgment in determining how to collect, interpret, transform, and analyze data to produce meaningful results
• Routinely recommend analytical solutions, data mining approaches, and scenario analysis to solve business problems
• Execute tasks independently and exercises judgment based on the analysis of multiple resources
Qualifications:
Required:
• Strong data knowledge with the ability to distill and synthesize various data into cohesive insights, analysis, and/or recommendation.
• Knowledge of statistical modeling methods, machine learning algorithms, and various advanced analytic techniques.
• Intellectual curiosity
• Collaborative work style and approach to problem solving
• Strong analytical and problem-solving skills
• Knowledgeable in data science project methodologies
• Strong Data analysis Skills
• Thought Leadership skills
• Process management skills
• Effective time management and organizational skills
• Strong written and verbal communication skills
• Flexibility to work and manage variety of projects
• Strong attention to detail
• Tableau building knowledge and strong SQL experience, also SAS, R, and BOXI skills
• Bachelor or Masters in Engineering, Math, Computer Science, Econometrics, Statistics, Operational Research, or equivalent analytical or technical fields that use large data and statistics
Preferred:
• Knowledge of bank products (e.g., credit cards, payments, deposits, and cash management products used by business and commercial clients)
• 5+ years of banking experience, analytics and/or business intelligence space
• Knowledge of banking core systems, products and technology
• Some UX design skill and knowledge
Company:
1872 Consulting is a recruitment and IT consulting company. Founded in 1872, the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.

1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014