Job Description
Overview
Our Digital Data Science Department is focused on building predictive solutions to support our mobile app and online banking operations. We develop tools that help business and app development teams enhance user experience and optimize performance.
We are seeking a motivated and talented year-round intern to join our growing team.
This role involves working with senior team members, department leaders, and business units to support research and development efforts using digital and financial data. You'll help explore new modeling ideas to enhance our data science products, generate insights into customer digital behavior, analyze mobile app and website usage trends, and examine customer sentiment. Familiarity with financial services and banking products is a plus, as it can support the design of predictive tools that help customers improve financial management and overall financial well-being.
This is a year-round, full- or part-time internship with flexible hours based on your academic schedule.
Responsibilities
• Perform research and analysis on emerging trends in mobile banking data science domains; may include quantitative and/or qualitative analysis
• Explore datasets and existing available technologies and tools
• Write code in Python and SQL to summarize and analyze data
• Analyze and interpret results with some complexity
• Combine knowledge of data science techniques with industry research on solutions in the mobile banking sector, including but not limited to logistic regression, random forest, XGBoost, neural networks, NLP, k-means clustering, ARIMA, and prophet forecasting
• Develop whitepapers and research summaries to help strategically target new model development initiatives
• Collaborate with team members and participate in team project planning
• Utilize effective written and verbal communication to document and present findings
Qualifications
• Must be pursuing a degree from an accredited college/university
• Knowledge of statistics and data science use cases
• Programming abilities in SQL, Python, R, or similar languages in data exploration, data preparation, modeling, prediction, and statistical analysis
• Ability to learn and use data and cloud environments such as Azure and Databricks
• Technical writing skills
• Communication and data storytelling presentation skills of technical material
• Ability to collaborate and build relationships
• Effective organizational, planning and time management skills
• Ability to work independently and in a team environment
Desired Qualifications:
• Pursuing a degree in data science, statistics, mathematics, or degrees in similar quantitative fields
• Strong knowledge of statistics and machine learning techniques and tools including logistic regression, XGBoost, neural networks, NLP, and clustering
• Familiarity with task-tracking tools (ADO, ServiceNow, Asana, Jira, etc.)
About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
Our approach to careers is simple yet powerful: Make our mission your passion.
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• Yello and WayUp Top 100 Internship Programs
From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected Veteran.
Hybrid Workplace: Navy Federal Credit Union is a hybrid workplace, and details will be discussed during your interview process.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team’s discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
Job Tags
Full time, Part time, Internship, Flexible hours,