Data Scientist

I am Ron Ross, VP Data at the Bank of Utah. Founded in 1952, Bank of Utah is one of Utah's largest, privately owned community banks. Here we strive to unlock the potential of our team members, clients, and community. We act with integrity in every decision, build trust through every interaction, and exceed expectations at every opportunity. We seek to responsibly create lasting prosperity today and for generations to come.

We are currently looking for a Data Scientist to work Monday - Friday at our Branch located at 2605 Washington Blvd, Ogden, UT. The Data Scientist at Bank of Utah leverages advanced analytics, machine learning, and statistical modeling to drive data-driven decision-making. This role focuses on developing predictive models, optimizing business processes, and extracting insights from large datasets to enhance banking operations, risk management, and customer experience. The Data Scientist collaborates with business units, IT, and compliance teams to ensure data-driven solutions align with strategic goals while maintaining regulatory and security standards.

Job Qualifications

• Education - Bachelor’s in Data Science, Mathematics, Statistics, or a related field OR equivalent industry experience
• Statistical & Machine Learning Expertise – Strong understanding of predictive modeling, classification, clustering, and deep learning techniques to solve complex business problems.
• Programming & Data Manipulation – Proficiency in Python, R, and SQL for data extraction, transformation, and analysis.
• Big Data & Cloud Technologies – Experience with cloud platforms (e.g., Snowflake, Azure) and distributed computing frameworks.
• Data Visualization & Storytelling – Ability to communicate insights effectively using tools like Tableau, Power BI, or Matplotlib.
• Banking & Risk Analytics Knowledge – Familiarity with financial modeling, fraud detection, credit risk assessment, and customer segmentation.
  
  

Benefits Of Working With Us

Bank of Utah's comprehensive benefits package includes:

• Great work-life balance, with a Monday-Friday schedule
• Competitive pay and benefits, including medical, dental and vision plans
• 401(k) plan and match up to 5 percent, plus opportunities to participate in our employee stock ownership program (eligibility requirements must be met)
• 12 paid bank holidays earned vacation & sick time
• Volunteer opportunities to make a difference in the communities where you work and live
• Awards and recognition to celebrate you and your colleagues for living the bank's values
  
  

Regular Duties And Responsibilities

• Develop Predictive & Machine Learning Models – Build and deploy models for fraud detection, customer retention, credit risk assessment, and operational efficiency.
• Analyze Banking Data Trends – Identify patterns in customer behavior, lending risks, and operational inefficiencies to drive business strategy.
• Enhance Data-Driven Decision-Making – Provide insights and recommendations to optimize products, services, and business processes.
• Work with Large Datasets – Extract, clean, and analyze structured and unstructured data from core banking systems and external sources.
• Collaborate with Stakeholders – Partner with business leaders to define use cases and ensure models align with strategic goals.
• Ensure Regulatory & Ethical Compliance – Develop AI solutions that adhere to banking regulations and ethical AI principles.