Data Science Intern - Summer 2027

## Student Intern - HHSIAN The Hartford is offering an 11-week Data Science Summer Internship Program beginning in May 2027 designed to prepare you for a challenging and rewarding Data Science career. As a Data Scientist Intern, you will develop machine learning and artificial intelligence solutions across a range of strategic initiatives. Additionally, you will have opportunities to present to senior Data Science leaders, network across all levels of our Data Science & Analytics community, attend social events, and discussions with leaders via one-on-ones and panels. To accelerate your project work, we also provide on-the-job training in insurance, cloud development environments, and modeling/machine learning techniques as needed. ## Responsibilities: - Assist in creating statistical models, machine learning models, and AI workflows to 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 - Prepare and deliver presentations that translate data-driven insights, model results, and recommendations to varying business partners - Document work clearly to ensure effective knowledge sharing within the team ## Requirements: - Must be working towards a Master’s or Ph.D. in Data Science, Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Computer Science, or a similar analytical field - Experience in statistical modeling, inference, and building machine learning algorithms using Python - 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 - Exposure to building modeling solutions in cloud-native environments, such as AWS Sagemaker or GCP Agent Platform, a plus - Understanding of prompt engineering, retrieval-augmented generation (RAG), agent workflow, and LLM evaluation a plus - Exposure to SQL and navigating databases to extract relevant attributes a plus - Exposure to Unix and Git a plus