Data Science Intern

DescriptionMilliman's Seattle healthcare practice is seeking a motivated Data Science Intern to join our team. As an intern, you will gain hands-on experience working with large datasets, developing predictive models, and delivering actionable insights for real-world business challenges. This is a unique opportunity to work alongside experienced data scientists, actuaries, and consultants to impact client outcomes. While somewhat flexible on timing, we expect the intern to work onsite from our Seattle office for a 12-week period during the December 2025 - March 2026 timeframe.About Our PracticeMilliman's Seattle Health Practice serves a wide variety of organizations, including insurance companies, health plans, state and federal agencies, healthcare providers, reinsurance companies, providers, Accountable Care Organizations (ACOs), and employers. The staff consists of 180+ actuarial professionals in addition to healthcare consultants, IT, Administrative, and other non-actuarial staff.By joining Milliman, you will be working with some of the most experienced, most capable people in the health industry. Through our mentor program, you will have a dedicated colleague available to help guide your career growth. For the right candidate, these opportunities will help you grow professionally while enjoying the work you this role, you will have the opportunity to:Assist in the collection, cleaning, and preprocessing of large datasets from various sources, including APIs and cloud-based platformsSupport the development and implementation of statistical and machine learning, and AI models to address real-world business challengesConduct exploratory data analysis and data visualization to identify trends, patterns, and actionable insightsCollaborate with team members to solve complex business problems using data-driven and software engineering approachesDocument methodologies, code, processes, and findings in a clear and organized manner, following best practices for reproducibility and knowledge sharingPresent results, insights, and recommendations to team members and stakeholders through written reports and presentationsParticipate in team meetings, brainstorming sessions, code reviews, and knowledge-sharing activitieTo be successful in this role, you have the following qualifications:Professional Qualifications:Working towards or completed a bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Actuarial Science, Economics, or another related fieldStrong analytical and problem-solving skillsExperience with programming languages such as Python and/or R for data analysis and modelingFamiliarity with SQL or other database querying languages; experience with data integration and transformation a plusPersonal Qualifications:Detail-oriented with strong organizational and documentation skillsExcellent written and verbal communication skills; able to explain technical concepts to non-technical audiencesCollaborative mindset and strong teamwork abilitiesEagerness to learn new technologies and adapt in a fast-paced, dynamic environmentDemonstrated initiative and ability to work independently when requiredPreferred Qualifications:Previous internship or project experience in data science, analytics, or actuarial workExperience with data visualization and dashboarding tools (e.g., Power BI, Tableau, R Shiny, or equivalent)Proficiency with Excel and/or VBA for data analysis and reportingCollege GPA of 3.3 or higherLocationThis position is based out of the Milliman office in Seattle, WA. Applicants must be willing to work onsite full-time.This job posting is expected to close on November 3, pensationThe salary range for this position is $21- $38 per hour, depending on relevant factors, including but not limited to, education, work experie

Created: 2025-12-05