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Data Scientist - San Francisco Tri-State Property and Casualty (remote)

Data Scientist - San Francisco Tri-State Property and Casualty (remote)

MillimanOmaha, NE, United States
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Overview

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.

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 (ERG’s) 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 to learn more about Milliman’s commitments to our people, diversity and inclusion, social impact and sustainability : https : / / www.milliman.com / en / Social-Impact

The San Francisco Tri-State Property and Casualty practice, comprised of about 50 employees, represents a wide range of expertise, with abundant opportunities to develop and apply actuarial and complementary skills such as data science and geospatial analysis. Our cross-disciplinary team applies advanced actuarial and other analysis 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. Project assignments and internal interest groups give all of our staff the opportunity to collaborate and contribute across the practice.

What You Will Do

As a Data Scientist with our practice, you’ll leverage your programing expertise and along with your data science and insurance industry knowledge to deliver high-quality analytical and modeling solutions for our client engagements. You’ll process, visualize, and analyze diverse data sets, from telematics and insurance claims data to catastrophe models and climate variables, using Python, R, and / or SAS. While a majority of your work will focus on traditional property and casualty insurance analytics, you’ll also take part in projects exploring the impacts of climate change and natural catastrophes on other industries and broader economic trends.

Key Responsibilities

  • Manipulate, summarize, and validate large datasets for accuracy and consistency using statistical programming languages
  • Build risk scores using geospatial, climate, and other contextual data
  • Develop predictive models using linear and non-linear methods
  • Contribute to ETL processes in support of client engagements, product development, and internal research
  • Participate in checking and peer review of the work product of other data scientists and analysts
  • Assist peers and project managers in scoping out new projects or opportunities
  • Draft clear, professional reports and exhibits for internal and external audiences

What We Are Looking For

Professional Qualifications

  • Completed Bachelor’s degree or higher, including quantitative coursework in data science, data engineering, mathematics, statistics, computer science, etc.
  • At least one year of relevant professional experience with demonstrable quantitative and data-driven work, such as property and casualty insurance, natural catastrophe modeling, climate risk, or related fields
  • Advanced programming experience in SAS, R, or Python for data manipulation, analytics, and modeling
  • Substantial expertise with MS Excel, PowerPoint, Teams, Outlook, and Word
  • Understanding of relational database concepts
  • Able and willing to obtain and maintain a U.S. Government-issued Public Trust security clearance
  • Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman, now or in the future.

    Personal Attributes

  • Intellectual curiosity about risk, insurance, and emerging threats
  • Inspired to contribute to the success of a project and succeed as a team
  • Proactively seeks out possible solutions to a problem
  • Able to work effectively in remote teams, across time zones
  • Strong critical thinking, technical, and analytical skills
  • Commitment to producing accurate, high-quality work
  • Excellent communication skills – able to clearly articulate complex ideas and solutions
  • Preferred Qualifications

  • Three or more years of relevant professional experience
  • Strong understanding of climate data sets, geographic information systems (GIS), statistics, regression models, and insurance analytics
  • Experience with data visualization tools such as PowerBI, Tableau
  • Location

    This is a remote position, based in the United States. Candidates hired into this role may work onsite in select Milliman office locations, if they prefer (though no relocation assistance will be available). Occasional work-related travel may be required for practice meetings, company events, industry conferences, etc.

    Application deadline for this job is October 31, 2025.

    Compensation

    The overall salary range for this role is $65,200 - $151,440. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.

    For candidates residing in :

  • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, Pennsylvania, Virginia, Washington, or the District of Columbia :
  • $71,720 - $114,620 if overall experience is less than 5 years; and

  • $86,680 - $138,820 for experience greater than 5 years
  • New York City, Newark, San Jose, or San Francisco :
  • $78,240 - $125,040 if overall experience is less than 5 years; and

  • $94,560 - $151,440 for experience greater than 5 years
  • All other states :
  • $65,200 - $104,200 if overall experience is less than 5 years; and

  • $78,800 - $126,200 for experience greater than 5 years
  • Milliman Benefits

    We offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include :

  • Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners.
  • Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges.
  • 401(k) Plan – Includes a company matching program and profit-sharing contributions.
  • Discretionary Bonus Program – Recognizing employee contributions.
  • Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses.
  • Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis.
  • Holidays – A minimum of 10 paid holidays per year.
  • Family Building Benefits – Includes adoption and fertility assistance.
  • Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria.
  • Life Insurance & AD&D – 100% of premiums covered by Milliman.
  • Short-Term and Long-Term Disability – Fully paid by Milliman.
  • Equal Opportunity

    All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

    #LI-LS1

    #LI-Remote

    Equal Opportunity Employer / Protected Veterans / Individuals with Disabilities

    This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

    #J-18808-Ljbffr

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