Data Science & Analytics Careers

Our Start-Up Culture:

• You can drive innovation in the company from Day 1.
• We develop new ideas that change the business.
• We build from the ground up to production.

An Emphasis on Learning and Collaboration:

• We are a large group of diverse data science professionals that value teamwork and collaboration.
• We share a strong spirit of collaboration and training.
• You’ll find lots of different skills being applied in diverse problem spaces.
• We embrace open development principles.
• We’re always looking for best practices and techniques.
• We contribute to the data science community outside of Allstate, too.

Cutting-Edge Research:

• We make state-of-the-art data science applications.
• We contribute to open-source communities.
• We’re constantly looking for new machine learning techniques to improve our work.

Interesting Projects:

• Insurance is complex: Pricing, Economics, Claims Operations, Fraud, Agency Operations, and Marketing.
• We choose projects that make a big impact in how Allstate operates.

Commitment to Community Outreach:

• We often pursue new ideas or outreach during time dedicated to learning new things and solving interesting problems outside of our day-to-day work.
• We built machine learning tools for the City of Chicago.
• We’ve helped optimize food inspections and tree removal response.

• We have new data coming in all the time—and lots of really unique problems—and we have the tools to solve those problems.
• You’ll be surrounded by people from different backgrounds—from computer science to physics to biology. There is a lot of collaboration because we want to make it easy to get different perspectives on the problems that we are working on.
• We have fun solving problems while learning new techniques and methods along the way through weekly symposia, analytics lunch-and-learns, and a half-day every week of self-directed time to work on whatever interests you.

From connected car strategies to claims fraud detection, we touch all areas of the business in service to our customers. We solve cool and complex problems to provide our customers with better value and protection by using tools such as gradient-boosted machines, Python, Plotly, R, ggplot2, GLMnets, Jupyter Notebooks, devtools, testthat, roxygen, rcpp, and lineprof.