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 Arity is a part of the Allstate Corporation, which means we have the same innovative drive that keeps us a step ahead of our customers' evolving needs. We collect and analyze enormous amounts of data in order to provide cutting-edge solutions to companies invested in transportation.
The Analytics Team Advertising data science team in Arity empowers the intelligence and efficiency of Arity Marketing Platform, which enables marketers to find their best customers wherever they are in their journey. Our goal is to empower marketers to reach prospects and display relevant messaging based on how, when, and where they drive. The team is responsible for optimizing the in-house marketing platform for advertisers and publishers, as well as our revenue, throughout all funnels. To achieve this, not only do we need to look for inefficiencies on the platform including individual campaigns, but also how to grow and scale the platform to gain more revenue. This means we need to find a cost-effective way to rapidly deploy, test and iterate algorithms on our platform. This team is also fully integrated within a cross-functional scrum structure including product owners, software engineers, ad operation team, and other talents to collaborate with to achieve the same business goals
Where good people build rewarding careers. This Summer 2026 internship is for students currently enrolled in a graduate degree program. This role is responsible for building a proof-of-concept business solution using advanced reinforcement learning in Analytics and Data Science. This is a highly dynamic position that requires a great degree of flexibility, analytic agility and the ability to rapidly adapt to meet business need, new technologies and data sources. If you like the challenge of working on state-off-the-art techniques in advertising, this is the perfect job for you.
Job Description
- Research and develop advanced machine learning methods to assess the technical feasibility and potential business value
- Utilizes effective project planning techniques to break down basic and occasionally moderately complex projects into tasks and ensure deadlines are kept
- Uses and learns a wide variety of tools and languages to achieve results (e.g., Python, SQL, machine learning libraries)
- Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling
- Executes on modeling/machine learning projects effectively
- Reviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership
Job Qualifications - Target Start date: May/June 2026
- Currently pursuing a PhD degree in a quantitative field (e.g. mathematics, statistics, computer or physical science)
- Knowledge of reinforcement learning is required from coursework
- Familiar with MDP framework such as value, action value function, reward, Monte Carlo methods
- Experience with implementing model free reinforcement learning algorithms, especially policy gradient method, including REINFORCE, Actor-Critic methods, Proximal policy optimization
- Demonstrated fluency with Python programming and ability to run simulation
- Knowledge of programmatic advertising business is a strong plus
- Experience with cloud computing services such as Vertax AI, Sagemaker or data warehouse service like BigQuery is a plus
At Arity, great things happen when our people work together.
That's why when you join our team, we make sure it 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
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
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. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact. Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
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