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Data Analytics Intern

2 months ago

Pensacola, Florida, United States Navy Federal Credit Union Full time
About the Role

We are seeking a highly motivated and detail-oriented Data Scientist Summer Associate to join our team at Navy Federal Credit Union. As a Data Scientist Summer Associate, you will have the opportunity to work on impactful projects and contribute to the development of advanced analytics solutions.

Key Responsibilities
  • Leverage modern technologies such as Python, R, Scala, and Spark to analyze and gain insights within large data sets.
  • Analyze current and historical data to make predictions, identify risks, and opportunities, enabling better decisions on planned/future events.
  • Provide analytics insights and solutions to solve complex business problems.
  • Manage, architect, and analyze big data to build data-driven insights and high-impact data models.
  • Evaluate model design and performance and perform champion/challenger development.
  • Apply business knowledge and advanced statistical modeling techniques when building data structures and tools.
  • Collaborate with other team members, subject matter experts, pods, and delivery teams to deliver strategic advanced analytic-based solutions from design to deployment.
  • Examine data from multiple sources and share insights with leadership and stakeholders.
  • Transform data presented in models, charts, and tables into a format that is useful to the business and aids in effective decision making.
  • Create data visualizations and/or dashboards to monitor and explain risk trends that are relevant for loss and originations modeling.
  • Conduct model validations and routinely assess model performance.
  • Create reports and other deliverables to assist with business planning, continuity, and strategy.
  • Lead initiatives to streamline or automate processes related to data preparation, quality assurance, execution of in-production models, report creation.
  • Use a variety of analytical and modeling techniques to develop and/or refine strategies related to underwriting criteria, pricing, line management, loss forecasting, loan loss reserves to drive business direction across multiple asset classes.
Requirements
  • Currently pursuing an undergraduate or graduate degree in Data Science, Statistics, Economics, Mathematics, Computer Science, Engineering, or another quantitative field.
  • Ability to understand complex business problems and determine what aspects require optimization and articulate those aspects in a clear and concise manner.
  • Advanced skill in communicating actionable insights using data to technical and non-technical audiences.
  • Experience working in a dynamic, research-oriented environment.
  • Demonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau.
  • Ability to manipulate raw data within visualization tools to create effective dashboards that communicate end-to-end data outcomes visually.
  • Proficient in storytelling with data skills.
  • Strong technical writing skills.
  • Skill communicating thoughts, concepts, practices effectively at all levels, adjusting as needed to a target audience.
  • Strong verbal, interpersonal, and written communication skills.
About Us

Navy Federal Credit Union is a leading financial institution that provides a wide range of financial services to its members. We are committed to delivering exceptional service and value to our members, and we are seeking talented individuals to join our team.

We offer a competitive compensation package, including a salary range that is based on market data. We also offer a comprehensive benefits package, including health insurance, retirement savings, and paid time off.

We are an equal opportunity employer and welcome applications from diverse candidates. We are committed to creating an inclusive and diverse work environment that values and respects the contributions of all employees.

We are a hybrid workplace, and details will be discussed during the interview process.