Applied AI Scientist

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 an Applied AI Scientist within Employee Benefits (EB) Applied AI to develop machine learning and artificial intelligence solutions across a range of strategic initiatives.

The EB Applied AI 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 Applied AI team supports a portfolio across the EB lifecycle, from sales and underwriting to policy installation, renewal, and everything in between.  In addition to our existing portfolio of Predictive AI assets, the team is scaling to expand an end-to-end (E2E), AI-driven reimagination of the EB underwriting and service organizations.  Our E2E projects will include integrated, interactive solutions with a toolkit including generative AI, agents, natural language processing, computer vision, and predictive machine learning techniques.  We deliver value by partnering closely with enterprise enablement and other line of business data science teams to help build a consistent approach to architecture and practices across AI products while tailoring solutions to our customers' unique needs in accuracy, transparency, and scalability.

As an Applied AI Scientist, you will participate in the entire model lifecycle partnering 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, technologies, machine learning methods, MLOps, 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 data 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 and solve business problems
• Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations
• Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage
• Participate in the creation and deployment of long-term tools to continually evolve the business
• Contribute to the 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 and agentic AI
• Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions

Qualifications:

• 2+ years of relevant experience recommended
• Preference for 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
• Experience in statistical modeling, inference, and building machine learning algorithms in Python
• Experience in SQL and navigating databases to extract relevant attributes
• Experience in Unix and Git
• Experience 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
• A plus: experience in leveraging generative artificial intelligence (e.g. large language models, image generation, or multimodal generative models) including model selection and tuning, prompt engineering, and performance evaluation
• A plus: exposure to building modeling solutions in cloud-native environments, such as SageMaker or Vertex AI
• A plus: OCR - Optical Character Recognition

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