Applied AI Scientist at Zions Bancorporation

Midvale, Utah, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Modeling, Machine Learning, Advanced Analytics, AI Techniques, Data Cleaning, Data Transformation, Statistical Analysis, Predictive Modeling, Deep Learning, Generative AI, Python, R, Java, SQL, Communication

Industry

Banking

Description

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. 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: 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 Banking or financial services experience is a plus Familiarity with formal project management methodologies preferred Location: This position has a hybrid work from home schedule with a minimum of three days per week in the office at the new Zions Technology Center in Midvale, UT. The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company’s primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as: Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station. At least 75%25 of the building is powered by on-site renewable solar energy. Access to outdoor recreation, parks, trails, shareable bikes and locker rooms. Large modern cafe with a healthy and diverse menu. Healthy indoor environment with ample natural light and fresh air. LEED-certified sustainable building that features include the use of low VOC-emitting construction materials. 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 Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.

Responsibilities

The Applied AI Scientist will collaborate with the Enterprise Data Analytics team to analyze customer data, learn banking processes, and transform data into actionable insights. Responsibilities include designing and prototyping solutions leveraging advanced analytics and AI techniques, performing statistical analyses, and delivering various types of analytics.