Intern- Applied AI Scientist (Data Scientist)
About The Position
This is a paid summer internship position for an Applied AI Scientist, running from May through mid-August. The internship is not eligible for relocation assistance, and local candidates are preferred. Zions Bancorporation's internship and banker development program positions are not eligible for employment visa sponsorship. The Enterprise Data & Analytics (EDA) team is focused on transforming how data, analytics, and artificial intelligence drive business outcomes. They operate in a fast-paced, data-driven environment that values curiosity, innovation, and continuous improvement. Their mission is to deliver simple, scalable, and impactful solutions to enhance customer experiences, reduce operational friction, mitigate risk, and improve decision-making. The EDA team empowers its members to experiment, learn, and build innovative solutions using modern technologies, offering opportunities for technical and professional growth through mentorship, networking, community involvement, and participation in initiatives that foster collaboration, inclusion, and continuous learning. They invest in their people as their greatest differentiator.
Requirements
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Artificial Intelligence, Machine Learning, or a related quantitative discipline.
- Strong programming skills in Python.
- Understanding of statistics, probability, hypothesis testing, regression, and data analysis methods.
- Familiarity with Python data science libraries such as Pandas, NumPy, Scikit-learn, or similar tools.
Responsibilities
- Partner with Data Scientists, AI Engineers, and business stakeholders to understand business challenges and identify opportunities for AI and data-driven solutions.
- Explore, prepare, clean, and analyze structured and unstructured datasets.
- Develop, evaluate, and improve statistical, machine learning, and AI models.
- Build prototypes and proof-of-concepts that demonstrate business value.
- Create visualizations, reports, and presentations that effectively communicate findings and recommendations.
- Assist in the development of predictive, prescriptive, and generative AI solutions.
- Contribute to applications utilizing large language models (LLMs), retrieval-augmented generation (RAG), and agent-based workflows.
- Experiment with modern AI engineering frameworks and model APIs.
- Learn and apply software engineering best practices including version control, testing, code reviews, and deployment automation.
- Collaborate with cross-functional teams to deploy and monitor AI and analytics solutions.
- Stay current with emerging trends in machine learning, generative AI, and software development.
- Perform other duties as assigned.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Intern
Education Level
No Education Listed
