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Interns will work on developing AI and ML solutions for the financial services and insurance sectors. Responsibilities include building predictive models, deploying them in a cloud environment, and leveraging technologies like Python, R, and Java.

The Commercial Manager will manage an underwriting staff, oversee business results focusing on profitability and development, coach and develop underwriting teams, recommend underwriting policies and pricing strategies, and maintain relationships with agencies and brokers to ensure positive outcomes.

The Technology Internship Program offers hands-on experience in data engineering, focusing on designing and developing data applications, building data processing systems, and applying data modeling techniques. Interns will collaborate with experienced developers and participate in Agile methodologies while gaining insights into the insurance industry.

The CNA Technology Internship Program offers a 10-12 week hands-on experience in Application Design, Agile Development, Data Analytics, and Application Development. Interns will work alongside experienced practitioners, learn industry methodologies, and have access to professional development opportunities, with the potential for full-time placement after graduation.

The Technology Internship Program at CNA offers 10-12 weeks of hands-on experience across various technologies including application development and DevOps, utilizing Agile methodologies. Interns work on innovative projects, learn the Scaled Agile Framework, and receive mentorship, with the possibility of full-time employment after graduation.

This internship program provides hands-on experience in cybersecurity by allowing interns to build security plans, develop controls, and address real-world cyber threats. Interns will work with experienced staff to assess risks, investigate security incidents, and learn about technology's role in the insurance industry.

The Data Analytics Director will lead a team in the Long Term Care business unit, bridging business knowledge with data analytics expertise to improve operations using tools like Google Cloud Platform, Looker, and BigQuery. Responsibilities include managing and developing the analytics team, partnering with various leaders, and translating business challenges into innovative analytics projects.