Technology Internship Program (AI & ML Engineering)

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
CNA seeks to offer a comprehensive and competitive benefits package to our employees that helps them - and their family members - achieve their physical, financial, emotional and social wellbeing goals.
For a detailed look at CNA's benefits, check out our Candidate Guide .
JOB DESCRIPTION:
As one of the country's largest writers of commercial and specialty insurance, CNA depends on the talent, expertise and enthusiastic engagement of our employees. We provide insurance protection to more than 1 million businesses and professionals in the U.S. and internationally, offering unique expertise for the businesses and industries we serve. Our commitment to diversity and inclusion enables us to serve a broad range of customers while supporting our communities through charitable contributions and employee volunteerism.
CNA's Tech Summer Internship Program is looking to create a team of interns for a dynamic and fast pace 10-12 week training program that provides hands on experience and unique opportunities across a variety of technologies. Interns will have experiences in building Artificial Intelligence and Machine
Learning (AI & ML) solutions for financial services and insurance. Interns will also participate in developing data into usable information to create automated analytics solutions.
Program Features and Benefits:

• Challenging, innovative assignments that provide real-world experience in applying technical education to technology projects
• Participate in designing and building AI & ML capabilities in conjunction with data scientists and other key stakeholder. Capabilitie will primarily leverage Python, R or Java technologies.
• Assist in deploying predictive models leveraging machine learning and advanced data analysis techniques into a cloud environment.
• Cultivate innovation by proactively proposing new ideas to deliver business value more effectively.

• In-depth education in technology, the insurance industry, CNA's organization and how Technology plays a leading role in an insurer's profitability
• A dedicated manager and a mentor who will guide you throughout your internship program at CNA
• Opportunities to meet with members of our senior leadership team and learn about their personal experiences in Technology within the insurance industry
• Professional and personal development activities and ongoing feedback and coaching on performance
• Consideration for potential full-time placement upon graduation

Required Knowledge, Skills and Experience:

• Must be a sophomore, junior or senior (undergraduate) or in first year of Masters program pursuing a degree in Computer Science, Engineering, Mathematics, Computational Statistics, Data Science or related technical field
• A minimum 3.00 GPA is required (overall and major)
• 6 month+ year's work experience in Artificial Intelligence or Machine Learning
• 1+ years of coding proficiency in at least one programming language (Python, R , SQL)
• Interest in the Insurance Industry
• Some previous work experience preferred
• Ability to work independently as well as in a team environment, and the ability to cultivate and maintain positive business relationships
• Strong organizational skills
• Excellent interpersonal and communication skills
• Effective problem solving, analytical aptitude, learn quickly and embrace change
• Ability to learn and change quickly
• Demonstrated leadership ability

Program Location:
CNA's corporate headquarters is located in the heart of downtown Chicago at 151 N Franklin St, near all public transportation from the city and suburbs. The program will employ a hybrid working model, alternating between working in the office and from home.
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CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact [email protected] .