Arity - Data Science Intern (Core Telematics) at Allstate Insurance Company

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.

Analytics

At Arity, our Analytics team is at the core of helping us transform mobility. They not only know how to analyze and find meaning within the data but are passionate about how it affects the end-users of our products. They work with a treasure trove of massive data sets every day—after all, Arity is constantly collecting and deciphering billions of miles of driving data. And as our data continues to grow by the second, our Analytics teammates grow right alongside it. We give them the opportunity to model and visualize that data to create innovative products, working side-by-side with our diverse product teams. The insights uncovered by the Analytics team help catalyze groundbreaking solutions for our customers and are a driving force in making transportation smarter, safer, and more useful for everyone. Personally, we think that’s pretty game-changing stuff.

The Role

As a Data Scientist Intern on the Core Telematics team, you'll get hands-on experience analyzing real-world sensor and driving event data collected from millions of trips. You'll work side-by-side with data scientists and engineers on projects — from exploratory analysis through prototyping — and present your findings to the broader team. This is an opportunity to apply classroom knowledge to messy, large-scale data and see your work influence how Arity understands and improves the driving experience.

Responsibilities

• Conduct exploratory data analysis and data cleaning techniques on large-scale sensor datasets to identify patterns, trends, labels, and data quality issues
• Build clear visualizations and summaries that communicate findings to both technical and non-technical audiences
• Prototype and evaluate models for detecting patterns or events in sensor data
• Contribute clean, well-documented code and participate in the code review process alongside data scientists and engineers
• Document methodology, findings, and recommendations in Confluence for the broader team

Required Qualifications

• Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Physics, Engineering, or a related quantitative field
• Proficiency in Python (e.g. pandas, numpy) for data analysis and manipulation
• Familiarity with data visualization tools (e.g. Matplotlib, Plotly, Folium)
• Foundational understanding of statistics and exploratory data analysis techniques
• Strong analytical and problem-solving skills, with comfort working through ambiguous, real-world data
• Critical thinking and intellectual curiosity, with a drive to dig into open-ended problems and ask good questions
• Clear written and verbal communication skills for presenting technical work

Preferred Qualifications

• Target Start Date: May/June 2027
• Rising Junior or Senior
• Coursework or project experience with time-series or sensor data
• Working knowledge of SQL for querying large datasets
• Exposure to machine learning concepts/libraries (e.g. scikit-learn, TensorFlow)
• Experience with Git or other version control in a collaborative setting
• Familiarity with big data tools (e.g. PySpark) or geospatial data 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.

Compensation offered for this role is between $22 and $33 an hour and is based on experience and qualifications.

Skills

Analytics, Big Data, Data Science, Data Visualization Tools, Exploratory Data Analysis (EDA), Machine Learning (ML), Structured Query Language (SQL)

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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Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.

To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter.

Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.