Applied AI Scientist

Zions Bancorporation • Midvale, UT

1d • Hybrid

About The Position

Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today.
As an Applied AI Scientist, you will collaborate with the Enterprise Data Analytics team to analyze and model customer data, learn banking processes, and transform data into actionable insights. You will work alongside other experienced Applied AI Scientists to design and prototype solutions that leverage advanced analytics and AI techniques.

Requirements

• Bachelors degree in Computer Science, Engineering, Statistics, Data Science or related field plus 6+ years of related experience. Masters degree is a plus.
• 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

Nice To Haves

• Masters degree is a plus.
• Experience with SQL; exposure to Hadoop, Hive, or Spark is a plus
• Knowledge of ETL workflows and scheduling tools is a plus
• Banking or financial services experience is a plus
• Familiarity with formal project management methodologies preferred

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

Benefits

• Medical, Dental and Vision Insurance - START DAY ONE!
• Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
• Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
• Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
• 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
• Mental health benefits including coaching and therapy sessions
• Tuition Reimbursement for qualifying employees
• Employee Ambassador preferred banking products

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees