Description

Combined Insurance, a Chubb company, is seeking an Data Science Internto join our fast-paced, high energy, growing company for a Summer 2021 internship. Combined Insurance is a leading provider of individual supplemental accident, disability, health and life insurance products.We pride ourselves on being customer-centric, people-driven, accountable, performance-minded and ethical. Spend your summer working as a Combined Insurance Intern where you will have the opportunity to gain career-building experience.

Who are we looking for?

Successful interns at Combined Insurance come from many backgrounds and experiences and bring that rich diversity with them to our company. They also have some things in common, and these attributes will lead to your success at Combined:

• Results orientation: a demonstrated ability to meet commitments; including under pressure


• Intellectual agility: capable and willing to master and apply new knowledge


• Personal capacity: accepting and welcoming of additional responsibility over time


• Communication skills: an ability to communicate successfully in various settings


• Interpersonal/team skills: able to work effectively with colleagues at all levels


• Self-leadership: an ability to take full ownership of work and show initiative as needed


• Client focused: understanding of the needs of customers and clients


• Work ethic: a commitment to hard work and a high ethical conduct

Examples of past Intern tasks/projects:

• Develop an Accurate Staffing Model. Advanced statistical methodoligies will be used to determine factors such as claim complexity, cycle time, claim volume seasonality and adjuster's resume


• Utilize Predictive analytics on Claims Survey Results. Natural Language Processing will be used to develop a model that would predict the customer's behavior (e.g. if a customer would cancel a policy) based on feedback


• Data Mining of Claims Adjuster's Notes. Text mining and content analysis will be performed on claims notes in order to improve the claims handling process

Requirements

• Efficient in Microsoft Office, especially Excel, Word and Power Point.


• Hands-on skills with the following software packages: SQL, R or Python, Power BI


• Basic technical knowledge and expereince with Multivariate Statistical Analysis, Multiple Regression Analysis, Machine Learning, Data Mining, Predictive and Optimization modeling


• Familiatiry with relational database concepts


• Oral and written communication skills


• Basic analytical, decision making and problem-solving skills with strong attention to detail


• Strong record of academic achievement (minimum 3.0 cumulative GPA to qualify)


• Actively enrolled in an undergraduate or graduate program (December 2021 or May 2022 graduate, preferred) in a Quantitative Discipline such as Data Analytics, Statistics or another similar, relevant discipline


• Local to Chicagoland area

Preferred Majors:

• Data Analytics preferred majors: Data Science, Data Analytics, Business intelligence, Information Systems, or other related degree

Schedule: 8-Weeks (6/7/2021 7/30/2021); Full-time, M-F 8:30am 5pm CT