Intern, Data Science

d panels. To accelerate your project work, we also provide on-the-job training in insurance, AWS development environments for data science, and modeling/machine learning techniques as-needed.

The Hartford is proud to offer a hybrid work location model that is designed to support flexibility and collaboration, where you will work in an office ( CT- Hartford, NC- Charlotte, or IL- Chicago ) on Tuesday, Wednesday, and Thursday with remote flexibility on Monday and Friday.

Responsibilities:

• Assist in creating 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 applicable to your function

• Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions

Requirements:

• 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

• Able to effectively communicate technical concepts to non-technical audiences and vice versa

• 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

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/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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