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Predictive Analytics Internship Jobs in Arizona (NOW HIRING)

Software Engineer

Phoenix, AZ · On-site

$85 - $120/hr

Coursework, projects, or internship experience involving AI/ML or LLM-driven applications ... and predictive fleet maintenance. * Valuable Skill Building: This career path builds highly ...

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Predictive Analytics Internship information

What is a predictive analytics internship?

A Predictive Analytics Internship is a temporary position, usually for students or recent graduates, that provides hands-on experience in analyzing data to forecast trends and outcomes. Interns work with datasets, statistical models, and machine learning tools to help organizations make data-driven decisions. The internship typically involves tasks like data cleaning, building predictive models, and interpreting results under the guidance of experienced analysts or data scientists. This role helps interns develop practical skills in analytics, programming, and business intelligence.

What types of projects can I expect to work on during a predictive analytics internship?

As a Predictive Analytics Intern, you can expect to work on projects that involve collecting, cleaning, and analyzing large datasets to identify trends and make forecasts. Typical responsibilities may include building statistical models, developing machine learning algorithms, and presenting actionable insights to business stakeholders. You will likely collaborate with data scientists, engineers, and business analysts, gaining hands-on experience with real-world data challenges in a supportive team environment. These projects not only help build technical skills but also provide exposure to how data-driven decisions are made in the organization.

What are the key skills and qualifications needed to thrive as a predictive analytics intern, and why are they important?

To thrive as a Predictive Analytics Intern, you need strong quantitative skills, knowledge of statistics, and experience with data analysis, often supported by coursework in mathematics, computer science, or related fields. Familiarity with tools such as Python, R, SQL, and machine learning libraries, as well as experience using data visualization platforms like Tableau, is typically expected. Analytical thinking, attention to detail, and effective communication skills help interns present complex findings clearly and collaborate with team members. These abilities are critical for transforming data into actionable insights that drive decision-making in real business contexts.

What is the difference between Predictive Analytics Internship vs Data Analyst Internship?

AspectPredictive Analytics InternshipData Analyst Internship
Required SkillsStatistical modeling, programming (Python, R), data visualizationData cleaning, SQL, Excel, basic statistics
Work EnvironmentAnalytics teams, data science departmentsBusiness units, reporting teams
Industry UsageTech, finance, marketingRetail, healthcare, finance

Predictive Analytics Internships focus on building models to forecast future trends using statistical and machine learning techniques. Data Analyst Internships emphasize data cleaning, analysis, and reporting to support business decisions. Both roles require analytical skills, but predictive analytics internships often demand more advanced statistical knowledge and programming experience.

What are the most commonly searched types of Predictive Analytics jobs in Arizona?

The most popular types of Predictive Analytics jobs in Arizona are:

What job categories do people searching Predictive Analytics Internship jobs in Arizona look for?

The top searched job categories for Predictive Analytics Internship jobs in Arizona are:

Campus Undergraduate Summer Internship Program - 2027 Strategy & Analytics, Credit & Fraud Risk -...

American Express

Phoenix, AZ • On-site

Full-time

Posted 20 days ago


American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

25th of 151 rated financial services


Job description

Business Unit/Role Specific Info   

Credit and Fraud Risk (CFR) is a global function, responsible for making the right credit and fraud risk decisions that uphold operational excellence, drive growth, and accelerate innovation across American Express. CFR combines technology and infrastructure with new computing techniques to make better risk decisions and provide real-time customer communications and fraud  servicing. 

This critical team is responsible for managing risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies. 

  • Credit Risk Strategy: The credit risk team monitors credit portfolios and optimizes profit-based risk management decisions at all stages of the customer credit lifecycle.

  • Fraud Risk Strategy: The team analyzes and improves controls across all points of business that create fraud vulnerabilities, including product and service design, account acquisition, card issuance, servicing, and financial transactions. 

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

  • Competitive base salaries
  • Flexible work arrangements and schedules with hybrid and virtual options with Amex Flex
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counselling support through our Healthy Minds program
  • Career development and training opportunities

    For a full list of Team Amex benefits, visit out Colleague Benefits Site.

    American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

    We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

    US Job Seekers - Click to view the "Know Your Rights" poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster

    The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

    Minimum Qualifications

    • Currently enrolled in full-time bachelor's degree program 

    • Bachelor'sdegree candidates with an expected graduation date between December 2027 and June 2028

    Preferred Qualifications

    • Passion for improving end-to-end customer experience, innovation and customer first thinking

    • Strong interest in digital space and ability to collaborate with technology and product partners 

    • Entrepreneurial problem solver who's organized, has great attention to detail, and can multi-task while still taking into account the big picture

    • Strong analytical and decision-making skills - must have the ability to compile, analyze, research, and link complex issues

    • Demonstrated ability to work effectively and collaboratively in high pressure situations and handle multiple priority assignments simultaneously - must be a self-starter

    • Excellent written and verbal skills, with the ability to effectively communicate at all levels

    • Willingness to learn and master new systems

    • Knowledge of MS Office applications required

    • Knowledge of SQL, SAS, Java, Hive, Yellow Brick, or Python is a plus

    Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions

    How will you make an impact in this role?  

    The specific job responsibilities would depend on the team you are selected for a summer internship role. Broadly the role could entail some of the below listed responsibilities:

    • Partnering closely with our Digital Product and Business Unit teams to provide insights which inform product development and marketing investment decisions as well as actionable, insightful analytical solutions to help the leadership team evaluate and drive business performance

    • Collaborating extensively with colleagues to design and implement strategies based on statistical, financial and economic analysis 

    • Providing analytical support to enable billing, revenue growth, profitability and customer experience through diverse projects

    • Integrating new data sources and capabilities to drive key business decisions


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