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

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.

Applied AI Scientist

Key skills