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Midvale, Utah, United States

Internship

Onsite

Intern

Zions Bancorporation is redefining work in the financial sector through its Enterprise Data & Analytics team. The Applied AI Scientist Intern will collaborate with the team to analyze customer data and develop actionable insights using advanced analytics and AI techniques.

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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

Qualification

Required

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
Proficiency in programming and data science tools: Libraries/Frameworks: NumPy, Scikit-learn, PyTorch, TensorFlow
Proficiency in programming and data science tools: 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