2023 Data Science Summer Internship

The 2023 Data Science Summer Internship position with our Minneapolis Health and Life practice will assist in researching and implementing value-added machine learning solutions in the health and long-term care insurance domains in order to continuously improve our offerings that support our clients' needs.

Detailed Description

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 and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.

Through a team of professionals ranging from actuaries to clinicians, technology specialists to plan administrators, we offer unparalleled expertise in employee benefits, investment consulting, healthcare, life insurance and financial services, and property and casualty insurance.

Who We Are

The Minneapolis Health and Life practice is composed of healthcare and long-term care insurance professionals who provide our clients with industry-leading consulting services. We also develop and maintain innovative products that complement our consulting services. We are an expanding group with experience leading the way in industries that continuously change and evolve. Our office encourages an open and collaborative work environment to help our professionals grow and thrive.

The Department/Team

The data science team is a growing group of data scientists, actuaries, and software engineers involved in work that supports all areas of the practice. The analyses and techniques used are cutting edge while providing clients with accurate and easily interpreted business results. We are a flexible group that supports any of our clients' needs. Our work includes developing innovative modeling solutions, technical peer reviews, fairness testing of machine learning algorithms, and ad-hoc analyses. The clients we serve include leading insurance companies, industry-leading tech companies, world-renowned hospital systems, and agile startups. Employees balance working independently and collaborating with other team members within the Minneapolis practice and Milliman practices around the world on a variety of projects. Data scientists and subject matter experts work closely together to ensure solutions are both statistically rigorous and solve the correct problem for the client.

Role

You will:

• Work creatively and independently to pursue novel solutions to interesting problems,
• Process large data sets for predictive models and visualization,
• Develop data visualizations,
• Create models for analyzing and predicting various risks,
• Evaluate candidate models based on predictive power, ease of implementation, explainability, and other criteria,
• Assist in with research and business development projects, and
• Check other's work for technical accuracy.

Qualifications

Required:

• Pursuing a college degree in a STEM related discipline such as actuarial science, mathematics, data science, statistics, computer science, or other quantitative field,
• Exposure to R, Python, SAS, Scala, or SQL,
• Demonstrated ability to summarize, explore, and manipulate large data sets,
• Familiarity with a variety of supervised and unsupervised machine learning methods for structured/tabular data sets, and
• Current GPA of 3.0 or higher.

Desired:

• Pursuing a graduate degree in a STEM related discipline such as actuarial science, mathematics, data science, statistics, computer science, or another quantitative field,
• Excellent communication skills,
• Curiosity, creativity, and self-direction,
  • Good understanding of the math and statistics that support machine learning efforts,
  • Good Data Wrangling skills,

• Interest or passion in the healthcare industry and solving problems related to protecting the health and financial well-being of people everywhere,
• Experience with version control state management tools such as Git and Docker,

• Experience scaling data engineering and machine learning pipelines with parallel/distributed processing with tools such as Apache Spark, and/or cloud platforms such as Databricks,
• Experience using cloud resources provided by Amazon Web Services (AWS) and/or Microsoft Azure, and
• Current GPA of 3.5 or higher.

Location

This position can be either remote or based out of a Milliman office in Minneapolis.

Compensation

The hourly range is $18 to $42, depending on relevant factors, including but not limited to education, work experience, qualifications, skills, certifications, location, etc. If the applicant is pursuing a bachelor's degree the hourly range is $18 to $31; if the applicant is pursuing a master's degree the hourly range is $23 to $37; if the applicant is pursuing a doctoral degree the hourly range is $26 to $42.

Milliman Benefits

We offer competitive benefits which include the following based on plan eligibility:

• When an 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, based on 1 hour for every 30 hours worked.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)