Providing independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization.
Creating descriptive, predictive, and prescriptive models and insights to drive impact across the organization.
Participating in projects and efforts related to enhanced analytics tracking, model building, dashboarding, or automation.
Use modern technologies like Python, R, Scala, and Spark to analyze large data sets
Provide insights and solutions to solve business problems
Manage and analyze big data to build impactful data models
Evaluate and improve model design and performance
Collaborate with team members and stakeholders to deliver solutions
Transform data into useful formats for decision-making
Create visualizations and dashboards to monitor trends
Conduct model validations and assess performance
Create reports to assist with business planning and strategy
Lead initiatives to streamline or automate processes
Develop and refine strategies for underwriting, pricing, and/or portfolio monitoring
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 define analytical solutions
Coding experience with Python, R, Scala, or Spark as well as SQL
Ability to manipulate raw data within visualization tools to create effective dashboards that communicate end-to-end data outcomes visually
Proficiency in storytelling with data skills
Strong verbal, interpersonal and written communication skills
Familiarity using GitHub for documentation and code collaboration purposes
Familiarity with Databricks
Familiarity using Copilot or other AI agents to perform tasks
Anticipated graduation date of December 2026 or later
Currently pursuing a degree from an accredited college or university