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Data Science Intern - Property and Casualty (U.S. remote)

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Location
United States
Milliman

Job Description

Who We Are

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 San Francisco Property and Casualty (P&C) practice, comprised of about 35 employees, focuses on applying advanced actuarial techniques and geospatial technology to develop innovative insurance products for traditional and start-up insurers, as well as the associated state regulatory rate filing support. We are thought leaders in climate change, artificial intelligence, telematics, and other leading-edge research. We work on some of today’s most important insurance problems, including modernizing flood insurance and addressing wildfire risk.

What You Will Do
Our practice focuses on developing and introducing insurtech solutions into insurance rating and sales processes. We apply advanced actuarial and data science techniques to develop innovative insurance products for traditional and start-up insurers, and the associated state regulatory rate filing support. Often our work involves analysis of a range of data such as driver behavior collected from telematics devices, insurance policy characteristics and claims data, and catastrophe model data. Our summer Data Science Interns are given exposure to a variety of projects such as:

  • Building risk scores using GIS and contextual data
  • Data manipulation and summarization
  • Assisting with research and development
  • Processing data for predictive models and visualizations
  • Creating models to analyze behavior and evaluate risk
  • Checking work for technical accuracy

What We Are Looking For

Professional Qualifications (required)

  • Current undergraduate student pursuing a degree in data science, mathematics, statistics, computer science or other quantitative major
  • Completion of one data science college course
  • Fluency in SQL, R, Python and/or SAS
  • Able to employ a variety of supervised and unsupervised machine learning methods (knowledge of large-scale machine learning is a plus)

Personal Qualifications

  • 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

Compensation

The hourly pay range for this role is $18-34, depending on a combination of factors, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, location, etc.

Milliman Benefits

At Milliman, we focus on creating an environment that recognizes – and meets – the personal and professional needs of the individual and their family. We offer competitive benefits which include the following based on plan eligibility:

  • When an intern, temporary, or seasonal employee reaches 1,000 hours worked within 12 consecutive months, they become eligible for a 401(k) plan with matching program and profit sharing contribution
  • Employee Assistance Program (EAP)
  • Paid Time Off (PTO) starts accruing on the first day of work and can be used for any reason. Interns, Temporary, and Seasonal Employees will earn PTO each pay period, with an accrual rate of 1 hour for every 30 hours worked.

Location

The expected application deadline for this job is July 1, 2024. This role is based out of the Milliman office in San Francisco, California, but candidates hired into this role may work remotely anywhere in the U.S. Some nationwide travel may be required for company and client meetings.

Equal 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.

Advice from our career coach

In applying for the Data Science Intern position at Milliman, it is essential to showcase your expertise in data science and related fields. Here are some tips to help you stand out as a candidate:

  • Demonstrate your current pursuit of a degree in data science, mathematics, statistics, computer science, or a quantitative major.
  • Highlight your completion of at least one data science college course.
  • Showcase your fluency in SQL, R, Python, and/or SAS.
  • Emphasize your ability to employ supervised and unsupervised machine learning methods.
  • Exhibit strong attention to detail and a proactive attitude in seeking solutions to problems.
  • Highlight your communication skills, both written and oral, and your ability to work well in a team.
  • Emphasize your commitment to continuous learning and development.

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