Intern- Applied AI Scientist

Intern - Applied AI Scientist

2026 Paid Summer Internship

Duration : May through mid-August

Important Notes

This internship is not eligible for relocation assistance . Local candidates are preferred.

Zions Bancorporation's Internship and Banker Development Program positions are not eligible for employment visa sponsorship (e.g., H-1B visa). This includes situations where a candidate may have temporary work authorization while enrolled in school or upon graduation (e.g., CPT, OPT) but would need H-1B visa sponsorship within a few years to maintain employment eligibility.

About Us

Zions Bancorporation's Enterprise Data & Analytics (EDA) team is redefining what it means to work for a financial institution. We operate in a fast-paced, data-driven environment and seek individuals who bring diverse experiences, perspectives, and expertise to meet the evolving demands of a digital-first world.

We believe that "improving the work is the work" -creating simple, easy, and fast solutions for our customers. Your ability to adapt, learn, and innovate helps us increase revenue, reduce operational costs, and mitigate risk.

EDA offers opportunities for career growth through initiatives like Diversity, Equity & Inclusion , Women in Technology , and Workforce of the Future . These programs allow you to network across the organization, volunteer in the community, and build both technical and soft skills. Together, we are building a culture that values diversity and fosters belonging.

Role Overview

As an Applied AI Scientist Intern , you will collaborate with the EDA team to analyze and model customer data, learn banking processes, and transform data into actionable insights. You will work alongside experienced Applied AI Scientists to design and prototype solutions that leverage advanced analytics and AI techniques.

Key Responsibilities

Understand business and data requirements

Discover, clean, and transform data for analysis

Design and build analytical and machine learning models

Prototype and validate solutions

Perform statistical analyses and interpret results

Deliver diagnostic, descriptive, prescriptive, and predictive analytics

Explore opportunities for machine learning, deep learning, and generative AI in predictive modeling, automation, and model training

Communicate findings effectively across multiple levels of management

Other duties as assigned

Qualifications

Currently pursuing a BS or MS in Computer Science, Engineering, Statistics, or related field

Strong quantitative background with applied statistics skills (distributions, hypothesis testing, regression, etc.)

Familiarity with predictive modeling, machine learning, generative AI, and data mining techniques

Proficiency in programming and data science tools :

Languages : Python, R, or Java

Libraries / Frameworks : NumPy, Scikit-learn, PyTorch, TensorFlow

Visualization : Matplotlib, Seaborn, GGPlot, Tableau, Power BI

Experience with SQL ; exposure to Hadoop, Hive, or Spark is a plus

Knowledge of ETL workflows and scheduling tools is a plus

Strong analytical, organizational, and problem-solving skills

Excellent communication and presentation skills

Ability to collaborate across teams and work independently

Banking or financial services experience is a plus

Familiarity with formal project management methodologies preferred

Location

This internship will be based at our brand-new Zions Technology Center .

Req ID : 068420

Equal Opportunity Employer

It is the policy of this corporation to provide equal employment and advancement opportunities to all employees and applicants for employment, without regard to race, color, religion, age (40 and over), sex, pregnancy, gender, disability, national origin, ethnic background, citizenship, veteran status, sexual orientation, gender identity and expression or any other characteristic protected by applicable law. This policy is established and administered in accordance with all applicable federal, state, and local laws.

If you are an individual with disabilities who needs accommodation, or you are having difficulty using our website to apply for employment, please contact us at (801) 844-7628, Mon.-Fri. between 9 a.m. - 5 p.m. MST.

Click here to view applicable Federal, State and / or local employment law posters.