The Hartford · 15 hours ago
Senior Data Scientist
Columbus, OH
Full-time
Hybrid
Mid, Senior Level
$111K/yr - $166K/yr
5+ years expThe Hartford is an insurance company committed to making a difference, and they are seeking a Senior Data Scientist for their Employee Benefits Data Science, AI, and Analytics team. In this role, you will develop machine learning solutions to support actuarial pricing, underwriting, and reserving modeling while collaborating with cross-functional teams to maximize business value.
Auto InsuranceCommercial InsuranceEmployee BenefitsFinanceFinancial ServicesInsuranceLife InsuranceProperty Insurance
No H1B
U.S. Citizen Only
Responsibilities
Create statistical models, algorithms, and machine learning techniques to achieve financial objectives, solve business problems, and identify long term opportunities that improve the customer journey
Collaborate and partner with business stakeholders in a way that supports and sustains a culture that treats analytics as a corporate asset
Partner with Actuarial and Data teams to monitor and manage the End-to-End lifecycle of the rating models and underlying data which feeds them
Lead execution of modeling and machine learning projects that focus on internal team collaboration with Data Scientists, Data Engineers, and Product Owners
Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage
Contribute to successful implementation of strategies to achieve targeted business objectives
Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise
Remain current on research techniques and become familiar with state-of-the-art tools in generative AI
Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions
Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows
Qualification
Required
5+ years of relevant industry experience recommended
Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field; or progress towards a relevant professional designation
Proficiency in statistical modeling, inference, and building machine learning algorithms in Python
Proficiency in SQL and navigating databases to extract relevant attributes
Proficiency in Unix and Git
Proficiency in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation
Able to communicate effectively with both technical and non-technical teams
Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution
Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques
Preferred
Experience building modeling solutions in cloud-native environments, such as SageMaker, a plus
Benefits
Short-term or annual bonuses
Long-term incentives
On-the-spot recognition
Company
The Hartford
The Hartford is an industry leading provider of property and casualty insurance, group benefits and mutual funds.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown1995-12-15IPO
Leadership Team
Christopher Swift
Chief Executive Officer
Recent News
2025-12-09
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EIN Presswire
2025-12-02
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