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The Hartford

Data Scientist/Actuarial Modeler (remote)

Chicago, IL / Remote

Data Scientist - GD08AE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

This role will be part of a multidisciplinary actuarial/data science team designing and delivering powerful, analytical tools utilizing statistical modeling, machine learning, and advanced data engineering techniques to enhance and overhaul core actuarial processes. Our team is a cross-functional team of data scientists, engineers, and actuaries working in a collaborative environment which involves heavy interaction with partner-customers across actuarial, product, and data science. For this role, we are seeking a Data Scientist or an Actuary skilled in data science techniques to assist in the building, monitoring, maintenance, enhancement, and communication of loss models and analytical tools across both personal and commercial lines of business.

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We seek candidates with a strong foundation in statistical modeling and/or machine learning, who have a drive for finding novel and efficient solutions to maximize business value. Our team culture prioritizes flexibility and innovation, so an aptitude and desire to research state-of-the-industry solutions is a must, along with an aptitude to learn new tools and languages as necessary. This role will involve communicating model results to varying business partners so strong communication and presentation skills are required.

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise.

Must be able to work in the US without company sponsorship


  • Use predictive modeling and data science techniques to enhance traditional actuarial processes and assumptions
  • Think creatively to develop new solutions to actuarial problems and envision how we can enhance long-standing methodology using newer data science techniques
  • Use R and/or Python to build, maintain, and support loss models across different lines of business
  • Work with business partners to effectively communicate model results and implement findings to impact the business
  • Develop deep knowledge of The Hartford's formal and informal structures, business processes, and data sources
  • Develop improved methods of detecting and communicating changes in model performance
  • Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function
  • Identify opportunities to reuse strategic components and create synergies across modeling teams


  • 3+ years of experience in the P&C insurance industry OR 1+ years of modeling experience in relevant field
  • Preference for at least one of:
    • Master's in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a similar analytical field
    • Progress towards relevant professional credentials (e.g. FCAS, FSA, CSPA)
  • Programming experience in R and/or Python required
  • Application programming experience in Shiny and R Markdown is highly desired
  • Additional SQL, Spark, Hadoop, Java, or web programming experience is a plus
  • Attends to detail and manages multiple priorities in a fast-paced environment
  • High level of independence, but is also a team player that demonstrates a high level of ownership
  • Results driven with commitment to meeting deadlines
  • Note: Position can provide actuarial exam support


The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$87,120 - $130,680

Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

Client-provided location(s): Chicago, IL, USA
Job ID: hartford-R2416139
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA With Employer Contribution
    • HSA With Employer Contribution
    • On-Site Gym
    • Mental Health Benefits
    • Virtual Fitness Classes
    • Fitness Subsidies
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
    • Adoption Leave
  • Work Flexibility

    • Hybrid Work Opportunities
    • Remote Work Opportunities
    • Flexible Work Hours
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • On-Site Cafeteria
    • Company Outings
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Volunteer Time Off
    • Personal/Sick Days
  • Financial and Retirement

    • 401(K) With Company Matching
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
    • Profit Sharing
  • Professional Development

    • Internship Program
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Tuition Reimbursement
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Learning and Development Stipend
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)
    • Diversity, Equity, and Inclusion Program