This site uses cookies. To find out more, see our Cookies Policy

Chubb Associate Program - Jr. Data Scientist/Data Engineer in Jersey City, NJ at Chubb Group of Insurance Companies

Date Posted: 11/9/2018

Job Snapshot

Job Description

Chubb is the world’s largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

About Chubb’s Information Technology Early Career Development Program

Chubb is looking for professionals with a Bachelor’s Degree to join our Early Career Development Program.  This is a permanent full-time position and a compelling opportunity to join a global, growing, financially stable and successful company.  As the industry leader, Chubb is an employer of choice for students aspiring to develop a meaningful career in a fast-paced, diverse company with offices in most major US cities.

Chubb's Information Technology group manages all of our critical business systems and data including, for example, information about customers, rates, premium and expenses. Our Information Technology team is dedicated to creating competitive advantages in products, customer services and business costs by driving digital transformation in our business with a modernized focus on agile methodology and data analytics.

At Chubb, we have designed our Early Career Development Program to hone your skills and talents, to help you reach your career goals.  By joining the Chubb Early Career Development Program, you will be part of an experience that supports the well-rounded development of critical business skills which in turn contributes to the future success of our company. Our blended program is designed to include hands-on business assignments in a variety of disciplines, interactive classroom instruction, team assignments and direct interaction with many of our senior executives.  As part of this program you will receive:

  • Business training unique to a career at Chubb;
  • Technical training to deepen your skill level within your chosen discipline; and an understanding of our broader industry;
  • Interpersonal effectiveness training to help you gain strong communication and interactive skills;
  • Access to additional training to compliment your professional development.
Position Summary:

Ideal candidate will be a software engineer with experience of working with distributed data processing systems. You are a self-starter who is passionate about developing elegant data processing, analytics and machine learning applications.  You are adept at solving challenging data problems by utilizing a variety of different strategies, algorithms and programming models.

  • Identify requirements for data challenges that may be loosely defined
  • Collect and analyze data from diverse sources and assess accuracy for use
  • Analysis optimize and simplifying datasets for modelling and general consumption
  • Design build and own distributed cloud-based streaming data pipelines
  • Develop data models and algorithms to apply to datasets for normalization
  • Identify, evaluate and implement data management framework for data lake
  • Continually explore new ways of producing, processing, and analyzing data
  • Improve discoverability and reliability of data by creating and managing metadata
  • Researching and develop modern data engineering techniques
  • Build proof of concepts & prototypes to solve emerging challenges
  • Stay current with new data technologies and programming models
  • Be self-motivated and creative.
 Position Qualifications:
 
  • Degree in software engineering, computer science or other engineering field
  • Passion for data, numbers and statistics
  • Proficient in advanced data manipulation techniques
  • Experience in building data processing and data pipelining workflows
  • Experience in developing python and spark data structures and algorithms
  • Experience in data and database design and best practices
  • Experience developing and implementing machine learning algorithms
  • Familiar with working in linux operating system
  • Familiar with big-data technologies such as spark
  • Familiar with development tools such as git
  • Familiar with data processing technologies in platforms
 
 

Who are we looking for? 

Successful professionals at Chubb 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 Chubb: 

  • Results orientation: a demonstrated ability to meet commitments under pressure
  • Practical intellectual adaptability: capable and successful at adapting to 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: works 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
 

Chubb offers a competitive compensation package and comprehensive benefits package including life, health and dental, vision, a generous retirement savings plan, disability coverage, stock purchase plan, flexible spending accounts, tuition reimbursement, and business casual dress. At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religion, age, sex, sexual orientation, transgender, national origin, disability, genetic information, veteran or marital status, or any other characteristic protected by law.