The Hartford is looking to develop machine learning and artificial intelligence solutions across a range of strategic initiatives to help shape the future of their insurance company.
Requirements
Exposure to statistical modeling, inference, and building machine learning algorithms in an analytical programming language like Python or R
Exposure to building modeling solutions in cloud-native environments, such as Sagemaker, a plus
Exposure to SQL and navigating databases to extract relevant attributes a plus
Exposure to Unix and Git a plus
Responsibilities
Assist in creating statistical models, algorithms, and machine learning techniques to achieve financial objectives and solve business problems
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
Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function
Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions
Document work clearly to ensure effective knowledge sharing within the team
Other
Must be authorized to work in the United States without sponsorship now, or in the future
Must be working towards a Master’s or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field
Strong communication skills for explaining methodologies, visualizations, and recommendations to non-technical audiences and vice versa
Able to maintain organized project notes, version history, and technical documentation for team reference
