Technology Internship Program (AI & ML Engineering)

Posted 13 Days Ago
Chicago, IL
Hybrid
Internship
Cloud • Insurance • Professional Services • Analytics • Cybersecurity
The Role
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.
Summary Generated by Built In

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] .

Top Skills

Java
Python
R
SQL

What the Team is Saying

Meghan Bautista
Mehrzad Adelzadeh
Alison Massey
SenthilKumar Asokan
Zach Jones
Lisa Smith
Josie Lee
The Company
HQ: Chicago, IL
7,000 Employees
Hybrid Workplace
Year Founded: 1897

What We Do

CNA is one of the largest U.S. commercial property and casualty insurance companies. Backed by more than 125 years of experience, CNA provides a broad range of standard and specialized insurance products and services for businesses and professionals in the U.S., Canada and Europe.

As a company of allies, we understand the importance of fostering an inclusive and supportive culture for all employees. Our eight Employee Resource Groups elevate the voices of underrepresented groups and champion critical DEI initiatives in the workplace and beyond. We strive to promote an environment of inclusion and continuously work to ensure all employees feel valued and respected.

Why Work With Us

CNA knows the importance of having the tools you need to expand your expertise and develop your career. With a variety of cross-discipline and cross-functional opportunities, CNA provides you with the tools and resources needed to customize your career path and understand what is needed to be effective in your role.

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CNA Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
Company Office Image
HQChicago, IL
Located in the heart of the loop, CNA’s headquarters are at 151 N Franklin. With close proximity to both L and Metra stations.

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