Director of Data Science job opportunity at The Hartford.

Home Jobs In United States Of America Tag: Job Director of Data Science position at The Hartford


DatePosted 30+ Days Ago bot
The Hartford Director of Data Science
Experience: 8-years
Pattern: full-time
Country:
apply Apply Now
Salary:
Status:

Job

Copy Link Report
degreeOND
loacation Hartford CT- Home Office, United States Of America
loacation Hartford CT- H..........United States Of America

Dir Data Science - GD06AE 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 is seeking a Director of Data Science to lead the Workers’ Compensation Pricing Models within the Actuarial Strategic Modeling (ASM) department. This leadership role offers a unique opportunity to drive innovation in predictive modeling, machine learning, and actuarial analytics for our largest line of business, covering over $3B in annual premium. You will manage a high-performing team of data scientists and actuaries, collaborating with cross-functional partners in product, data engineering, underwriting and actuarial to deliver modeling solutions that directly impacts pricing, segmentation, and underwriting strategies. The ASM group is committed to advancing model workflows through scalable systems, and continuous model delivery—and is searching for a leader to guide and shape this innovative direction. Responsibilities: Lead WC Modeling: Serve as the model owner for Workers’ Compensation predictive models, ensuring alignment with pricing and business priorities. Partner on strategic vision while managing team capacity and driving timely model deliverables. Model Development & Deployment: Lead design, maintenance, and deployment of predictive models for frequency, severity, and loss cost estimates, ensuring production readiness and effective integration into pricing workflows. Cross-Functional Collaboration: Partner with Actuarial, Data Engineering, Underwriting, and Product teams to connect modeling initiatives with pricing strategies and organizational goals, promoting shared problem-solving. Innovation: Drive modernization through advanced modeling techniques, machine learning, and AI to enhance efficiency and decision-making. Lead experimentation with new data sources, features, and methodologies to uncover insights and advance strategic objectives. Operational Excellence: Ensure robust documentation, validation, and governance, along with scalable processes to monitor model performance and maintain reliability. Talent Development: Mentor and develop team members, fostering a culture of curiosity, ownership, and continuous learning. Support hiring and onboarding, including intern and actuarial student rotations. Strategic Influence: Participate in enterprise initiatives to ensure Workers' Compensation predictive models are efficiently integrated into core data and system platforms. Qualifications: 8+ years of relevant analytical 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 a relevant professional designation (e.g. FCAS, FSA, CSPA, ACAS, ASA)"  Expertise in statistical modeling, inference, and building machine learning algorithms in Python and/or R Expertise in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation. Experience in SQL and familiarity with cloud-native environments (e.g., Snowflake, Sagemaker). Able to communicate effectively with both technical and non-technical audiences.  Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution. Prior Management Experience Highly Preferred 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). Candidates 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: $153,200 - $229,800 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us  |  Our Culture  |  What It’s Like to Work Here  |  Perks & Benefits

Other Ai Matches

remote-jobserver Remote
Licensed Small Commercial Insurance Inside/Inbound Sales Consultant (2026 Talent Pipeline) Applicants are expected to have a solid experience in handling Job related tasks
Senior Staff AI Data Engineer - Hybrid Applicants are expected to have a solid experience in handling Job related tasks
AVP of Observability Engineering Applicants are expected to have a solid experience in handling Job related tasks
Senior Data Analyst – Risk Services Insights Applicants are expected to have a solid experience in handling Job related tasks
Sales Executive - Atlanta/GA/Mississippi/Alabama market Applicants are expected to have a solid experience in handling Job related tasks
Director, Strategic Data Agile Product Management – Employee Benefits Applicants are expected to have a solid experience in handling Strategic Data Agile Product Management – Employee Benefits related tasks
Small Business Sales Territory Manager Applicants are expected to have a solid experience in handling Job related tasks
Personal Insurance Product Assistant Director, Central Region States Applicants are expected to have a solid experience in handling Central Region States related tasks
Advisor Consultant - San Jose (Cross-Channel) Applicants are expected to have a solid experience in handling Job related tasks
Director, Priority Business Underwriting Applicants are expected to have a solid experience in handling Priority Business Underwriting related tasks
Excess Casualty Wholesale Account Manager Applicants are expected to have a solid experience in handling Job related tasks
Group Reinsurance Plus Consultant, Product Delivery Applicants are expected to have a solid experience in handling Product Delivery related tasks
remote-jobserver Remote
Premium Auditor Applicants are expected to have a solid experience in handling Job related tasks
Actuary Applicants are expected to have a solid experience in handling Job related tasks
Staff Software Engineer Applicants are expected to have a solid experience in handling Job related tasks
Personal Insurance Assistant Director, Digital Marketing Applicants are expected to have a solid experience in handling Digital Marketing related tasks
Senior IT Engineer – Full Stack Developer Applicants are expected to have a solid experience in handling Job related tasks
Claims Handler Applicants are expected to have a solid experience in handling Job related tasks
Staff Software Engineer - Hybrid Applicants are expected to have a solid experience in handling Job related tasks
Sales Executive - South Florida/Naples/Fort Meyers Market Applicants are expected to have a solid experience in handling Job related tasks
Intern, PL Western Claims Applicants are expected to have a solid experience in handling PL Western Claims related tasks
Performance Analytics Consultant - Global Specialty Applicants are expected to have a solid experience in handling Job related tasks
AVP IT Delivery - Middle and Large Business Applicants are expected to have a solid experience in handling Job related tasks