Senior Data Scientist

Sr Data Scientist - GD07AE

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.   

The Hartford   seeks a S enior   Data Scientist  Employee Benefits Data Science, AI, and Analytics (DSAIA)   to  develop machine learning solutions supporting actuarial pricing , underwriting,   and reserving modeling.  

The  Employee Benefits DSAIA   team is a  rapidly growing team   focused on  providing   deep insight , automation, and augmentation   across the policy lifecycle for Employee Benefits customers and internal business stakeholders .   The  EB DSAIA team supports a portfolio across the EB lifecycle, from sales and underwriting to policy installation, renewal, and everything in between .    

As a S enior   Data Scientist   in the Employee Benefits DSAIA team , you will  participate   in the entire  solution  lifecycle .  You’ll   partner with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest  generative   models , machine learning methods,  MLOps   deployment methods , and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This  cutting-edge   and forward - focused organization presents the opportunity for collaboration, self-organization within the team,  influencing decision-making,  and visibility as we focus on continuous business  value   delivery.  

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

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    

Qualifications:  

• 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  

• Experience   building modeling solutions in cloud-native environment s , such as Sage M aker, a plus  

• 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  

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

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:

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age