AI Strategy Intern

This is an opportunity to join Ascot Group one of the world’s pre-eminent specialty risk assumption Organizations as a Summer Intern.

We are a modern era company operating through an ecosystem of interconnected global operating platforms bound by a common mission and purpose. We utilize every aspect of our global operating platform as part of a unified system aligned around common underwriting, product and distribution strategies. What we call…A Single View of Risk.

Our greatest strength is our talented colleagues, who flourish within a collaborative, inclusive and entrepreneurial culture steeped in underwriting excellence, integrity and a passion to find a better way. This is what we call…The Ascot Way.

Our Summer Internship Program is designed to give high performing undergraduate/graduate students a deep understanding of our business and to ignite your passion for working in the specialty insurance industry. Through this program, you will gain meaningful, real-world experience while developing professional and functional skills. For those who excel in the program, we would welcome the opportunity to discuss full-time opportunities at Ascot after graduation.

What you can expect from us:

• 9 week experience with hands on learning as well as experiential and class room style learning.

• Training to develop your technical skills.

• Work as a team on a final project to be presented to our Executive Leadership Team.

• Continuous coaching, feedback and mentoring.

• The opportunity to network with employees, leaders and other interns.

REQUIREMENTS:

• Understanding of machine learning concepts, optimization, and model evaluation
• Programming skills in Python and Java and understanding of machine learning libraries.
• Understand data analysis and manipulation, evaluate and cleaning of data.
• Problem solving and critical thinking skills.
• Good communications skills to share ideas and present findings.
• Good foundation in mathematical concepts like statistics, linear algebra and calculus
• Curiosity and passion for AI 
• Working toward a degree in Applied Mathematics or similar concentration