Data Analytics Engineer Intern

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Job Description

This is a 12-week long Summer 2025 internship in the Data, Discovery & Decision Science (D3) department at Allstate. D3 is responsible for supporting other internal business units with a broad range of data, research and analytical projects. With fast growing team of highly skilled personnel, D3 provides a unique learning environment through formal training curriculum, mentoring, informal everyday coaching and hands-on training. 

Key Responsibilities: 

Utilize multidisciplinary approach to Data Engineering problems to combine technical, analytics and business knowledge.   

Demonstrate high degree of analytic agility to meet fluid and dynamic business needs.   

Break down business problems into solvable components to recommend solutions.   

Use a wide variety of tools and languages to achieve results (e.g., Python, C++, Java, Scala, SQL).   

Rapid development of new data and analytics prototypes.   

Develop and deliver data infrastructure to enable advanced analytics.   

Explore data sources to better understand the availability and quality of data.   

Document available data sources and how they are being transformed.   

Embrace an environment that supports innovation and process improvement.   

Disseminate knowledge across the team.   

Allstate Internship Program: 

Target start date: May/June 2025

12-week summer internship program   

An attractive compensation package   

Collaborative team environment   

Planned intern activities; including lunches with Allstate officers as keynote speakers   

Volunteer/community service opportunities   

Potential to receive possible full-time employment after graduation   

Job Qualifications: 

Currently pursuing a degree in a computer science, mathematics or equivalent.   

Pursuit of a graduate degree is a plus.   

Ability to code and develop prototypes in languages such as Python, C++, Java, Scala, SQL   

Some familiarity with the hadoop ecosystem desired.   

Experience with Bash or Korn Shell Scripting desired.   

Familiarity with statistical concepts and related technology (R, SAS, Matlab) is a plus.   

Demonstrated analytic agility and problem-solving skills.   

Ability and desire to learn new languages and technologies.   

Strong attention to detail.   

Solid written and oral communication skills.   

Desire to share and inform others.   

• Compensation:

Compensation offered for this role is between $20 and $42 an hour and is based on experience and qualifications.