Hybrid Data Science Intern — ML & AI Projects

thehartford; Hartford (CT); Hybrid; USD 28,000 - 41,000; Full time

Job summary

The Hartford is offering an 11-week Data Science Summer Internship Program beginning in May 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, present to senior leaders, network across our Data Science community, and gain on-the-job training in insurance, cloud development environments, and modeling techniques.

Qualifications

• Must be authorized to work in the United States without sponsorship now or in the future.
• Working towards a Master’s or Ph.D. in a quantitative field.
• Experience in statistical modeling, inference, and ML using Python.
• Strong communication for explaining methods and results.
• Exposure to cloud environments (AWS SageMaker or GCP) is a plus.
• Familiarity with SQL and basic Unix and Git is a plus.

Responsibilities

• Assist in creating statistical and ML models and AI workflows.
• Review work with partners to calibrate deliverables.
• Identify data sources and analytical techniques for competitive advantage.
• Contribute to deployment of tools and knowledge sharing within the team.
• Prepare presentations translating data insights to stakeholders.

Skills

Python

SQL

Communication

Git

Data Visualization

Education

Master's or Ph.D. in Data Science or related field

Tools

AWS SageMaker

GCP

Unix

Git

Job description

The Hartford is offering an 11-week Data Science Summer Internship Program beginning in May 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, present to senior leaders, network across our Data Science community, and gain on-the-job training in insurance, cloud development environments, and modeling techniques.