Actuarial Data Scientist - Remote

  • Amica
  • Remote or Lincoln, RI

See Job Description

Full Time

    Job Description

    Actuarial Data Scientist- Remote (Enterprise Data Solutions)
    25 Amica Way, Lincoln, RI 02865

    Want to join a company where doing good is what we do?
    The feeling is mutual!

    We're redefining excellent customer experiences. Data drives that process.

    As a Data Scientist, you will be working alongside actuaries and other data professionals to build and evaluate our pricing and other enterprise models. Beyond the data, you'll have the opportunity to communicate findings and trends to key stakeholders across the company. We navigate our projects through the entire data science lifecycle, from problem definition to data exploration, data wrangling, modeling, analysis, and deployment into production. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored on an ongoing basis. Our Enterprise Data Solutions team was awarded the Guidewire Innovation Award in 2021. You will be a member of this diverse and highly skilled team, working in a highly collaborative, team environment to drive strategically aligned business outcomes.

    Starting salary range of$78,789 - $121,272 annually based on qualifications and experience.In addition, hired applicants will be eligible for the company's annual variable incentive paid based on company performance. Additional commission opportunities may apply to customer facing sales and service representatives.

    Must-Have Qualifications:
    • Bachelor's or master's degree in data science, computer science, operations research, statistics, applied mathematics, or a related quantitative field. PhD or insurance designations such as ACAS desirable.
    • Minimum of 3 years' experience in an insurance pricing role
    • Experience leading predictive modeling projects involving new rating structures
    • Demonstrate knowledge of when to apply predictive modeling techniques such as logistic regression, time series, neural networks, random forest, boosting, text mining, clustering, deep learning, optimization, etc.
    • Proficiency in analytical programming languages like SAS, R, Python, etc.
    • Experience exploring and manipulating large amounts of structured and unstructured data using SQL
    • Excellent communication and presentation skills, including storytelling and other methods to guide, inspire, and provide insights to non-technical stakeholders
    • Intellectual curiosity, and drive to learn and master new technologies and techniques
    • Passion for extracting actionable insights that enhance business outcomes

    Perks and Benefits:
    • Medical, dental, vision coverage, short- and long-term disability, and life insurance
    • Generous leave programs, including paid parental bonding leave
    • Student Loan Repayment and Tuition Reimbursement programs
    • Paid Vacation - you will receive at least 10 vacation days in the first 12 months, amounts could be greater depending on the role
    • Holidays - 14 paid holidays observed and 2 additional floating paid holidays provided
    • Sick time - 6 days sick time at hire, 6 additional days sick time at 90 days of employment
    • Generous 401k with company match and immediate vesting
    • Family support benefits including back-up care
    • Competitive salaries and exceptional benefits
    • Fitness and wellness reimbursement
    • Employee community involvement
    • Strong relationships, lifelong friendships
    • Opportunities for advancement in a successful and growing company

    About Amica

    Amica Mutual Insurance Company is America's oldest mutual insurer of automobiles. A direct national writer, Amica also offers home, marine and umbrella insurance. Amica Life Insurance Company, a wholly owned subsidiary, provides life insurance and retirement solutions. Amica was founded on the principles of creating peace of mind and building enduring relationships for and with our exceptionally loyal policyholders, a mission that thousands of employees in offices nationwide share and support.

    Equal Opportunity Policy: All qualified applicants who are authorized to work in the United States will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, family status, ethnicity, age, national origin, ancestry, physical and/or mental disability, mental condition, military status, genetic information or any other class protected by law. The Age Discrimination in Employment Act prohibits discrimination on the basis of age with respect to individuals who are 40 years of age or older. Employees are subject to the provisions of the Workers' Compensation Act.