Data Science Intern

Milliman • Seattle, WA

2d • $21 - $43 • Hybrid

About The Position

Independent for over 75 years, Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world’s most critical and complex issues, including retirement funding, mortgage and healthcare financing, risk management and regulatory compliance, data analytics and business transformation. Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our web site (https://www.milliman.com/en/social-impact) to learn more about Milliman’s commitments to our people, diversity and inclusion, social impact and sustainability. The Data Science Modeling (DSM) practice within Milliman focuses on combining unique data assets with machine learning and AI to develop novel insights focused on healthcare. The Global Health Analytics (GHA) practice focuses on applying healthcare data and analytics across the globe to improve healthcare. What You Will Do This Internship will work with two Milliman practices. Data Science Modeling and Global Health Analytics. Both are focused on deploying and developing analytics to healthcare providers and payers across the globe. The Intern will work on a wide variety of projects that will include healthcare data analysis and light analytics engineering work. The role will also research individual healthcare markets and determine how to best approach markets, to help to adapt analytics to local markets.

Requirements

• Current graduate student pursuing a degree in data science, mathematics, statistics, computer science, informatics or business/economics major
• Completion of several data science college courses
• Understanding of healthcare data and previous healthcare data analysis experience
• Fluency in SQL, R, Python
• Able to employ a variety of supervised and unsupervised machine learning methods (knowledge of large-scale machine learning is a plus)
• Client-service oriented
• Effective oral and written communication
• Makes the most of every opportunity to learn
• Team player with positive and energetic attitude
• Proactively seeks out possible solutions to a problem
• Strong attention to detail

Responsibilities

• healthcare data analysis
• light analytics engineering work
• research individual healthcare markets and determine how to best approach markets, to help to adapt analytics to local markets

Benefits

• Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges.
• 401(k) Plan – When an employee reaches 1,000 hours worked within 12 consecutive months, they become eligible for a 401(k) plan that includes a company matching program and profit-sharing contributions.
• Paid Time Off (PTO) – Begins accruing on the first day of work; Interns, Temporary, and Seasonal Employees will earn PTO each pay period, based on 1 hour for every 30 hours worked.
• Transportation – Pre-tax savings for eligible transit and parking expenses.

What This Job Offers

• Career Level: Intern
• Number of Employees: 501-1,000 employees