Machine Learning 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 MLE 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.   

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

• Utilize Cloud platforms, such as AWS Sagemaker, to build, train, and deploy machine learning models 

• Utilize DevOps to help deploy machine learning models.  

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

• 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   

• Experience with DevOps is a plus 

• Knowledge of and experience with Cloud platforms (e.g., AWS Sagemaker, Azure, Google Cloud Platform) 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.

Skills

Customer Centricity, Digital Literacy, Inclusive Leadership, Learning Agility, Results-Oriented

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.  

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live. 

Good Hands. Greater Together.

Allstate generally does not sponsor individuals for employment-based visas for this position.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.