The Hartford
Overview
Sr Data Scientist - The Hartford. The Hartford seeks a Sr. Data Scientist within Personal Insurance to develop machine learning and artificial intelligence solutions across a range of strategic initiatives. The role involves participating in the entire model lifecycle, partnering with cross-functional business and technical teams to understand business strategies and design, develop, implement, and evolve modeling solutions using the latest technologies, machine learning methods, MLOps, and agile delivery frameworks. This role offers opportunities for collaboration, self-organization, and visibility as we focus on continuous business data delivery. 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 with business stakeholders to support the vision and treat analytics as a corporate asset Lead the execution of modeling and machine learning projects that involve internal collaboration with Data Scientists, Data Engineers, and Product Owners Identify and assess the value of new data sources and analytical techniques to maintain competitive advantage Contribute to the successful implementation of strategies to achieve targeted business objectives Develop knowledge of The Hartford's data sources, processes, and structures in your area of expertise Remain current on research techniques and state-of-the-art tools applicable to your function Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics used in business decisions Share best practices to guide the direction of Data Science and Data Engineering workflows Qualifications
5+ years of relevant experience recommended Master’s or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a related field, or progress toward 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 Experience building modeling solutions in cloud-native environments (e.g., SageMaker) is a plus Strong communication skills with both technical and non-technical teams Ability to translate complex technical topics into business solutions and translate business requirements into technical solutions Experience leading project execution and driving changes to core business processes through quantitative techniques Work schedule & Location
The role is a Hybrid schedule with an expectation to work in an office (Columbus, OH; Chicago, IL; Hartford, CT; or Charlotte, NC) 3 days a week (Tuesday through Thursday). Compensation
The listed annual base pay range is $110,720 - $166,080 and is based on external market analysis. Actual base pay may vary based on performance, proficiency, and demonstrated competencies. The base pay is part of The Hartford’s total compensation package, which may include bonuses, long-term incentives, and other rewards. Equal Opportunity Employer
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
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Sr Data Scientist - The Hartford. The Hartford seeks a Sr. Data Scientist within Personal Insurance to develop machine learning and artificial intelligence solutions across a range of strategic initiatives. The role involves participating in the entire model lifecycle, partnering with cross-functional business and technical teams to understand business strategies and design, develop, implement, and evolve modeling solutions using the latest technologies, machine learning methods, MLOps, and agile delivery frameworks. This role offers opportunities for collaboration, self-organization, and visibility as we focus on continuous business data delivery. 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 with business stakeholders to support the vision and treat analytics as a corporate asset Lead the execution of modeling and machine learning projects that involve internal collaboration with Data Scientists, Data Engineers, and Product Owners Identify and assess the value of new data sources and analytical techniques to maintain competitive advantage Contribute to the successful implementation of strategies to achieve targeted business objectives Develop knowledge of The Hartford's data sources, processes, and structures in your area of expertise Remain current on research techniques and state-of-the-art tools applicable to your function Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics used in business decisions Share best practices to guide the direction of Data Science and Data Engineering workflows Qualifications
5+ years of relevant experience recommended Master’s or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a related field, or progress toward 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 Experience building modeling solutions in cloud-native environments (e.g., SageMaker) is a plus Strong communication skills with both technical and non-technical teams Ability to translate complex technical topics into business solutions and translate business requirements into technical solutions Experience leading project execution and driving changes to core business processes through quantitative techniques Work schedule & Location
The role is a Hybrid schedule with an expectation to work in an office (Columbus, OH; Chicago, IL; Hartford, CT; or Charlotte, NC) 3 days a week (Tuesday through Thursday). Compensation
The listed annual base pay range is $110,720 - $166,080 and is based on external market analysis. Actual base pay may vary based on performance, proficiency, and demonstrated competencies. The base pay is part of The Hartford’s total compensation package, which may include bonuses, long-term incentives, and other rewards. Equal Opportunity Employer
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
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