Enterprise
Intern - Applied AI Scientist2026 Paid Summer InternshipDuration: 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 UsZions 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 OverviewAs 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 LocationThis internship will be based at our brand-new Zions Technology Center.
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 LocationThis internship will be based at our brand-new Zions Technology Center.