Arity - Data Science Intern
USA - NC (Remote)
Allstate
Get an online insurance quote for quality coverage in the blink of an eye. Allstate offers insurance for your car, home, rental, motorcycle and more.At Allstate, great things happen when our people work together to protect families and their belongings from lifeâs uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customersâ 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.Â
Job Description
Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone. At the heart of that mission are the people that work hereâthe dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation. Thatâs because at Arity, we believe work and life shouldnât be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We donât just want you to see yourself here. We want you to be yourself here.Â
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The Analytics TeamÂ
At Arity, our Data Science team is at the core of helping us transform mobility. We not only know how to analyze and find meaning within billions of miles of driving data collected from smartphones, onboard devices and third parties; we are passionate about how it affects the end-users of our products. On our team people get the opportunity to build scalable distributed data pipelines, develop and deploy an array of machine learning algorithms, and create eye-opening data visualizations. We find top talent from various quantitative disciplines to collaborate with product owners, software engineers, and experience designers in development teams to create innovative products to make transportation smarter, safer, and more useful for everyone.Â
Where good people build rewarding careers.Â
This Summer 2025 internship is for students currently enrolled in a graduate degree program. ThisâŻrole is responsibleâŻfor the use and development of data science/geospatial projects and proof of concept business solutions for users in Analytics and Data Science. This person partners with Data Scientists and DataâŻEngineers to provide tacticalâŻsolutions in one of the several product segments including insurance, geospatial enrichment, core telematics, and advertising. This is a highly dynamic position that requires a great degree of flexibility, analyticâŻagility and the ability to rapidly adapt to changing business requirements/needs, new technologies and data sources. This role requires close integration and partnership with the business and Data Science team and requires business acumen in order to output the best technical solutions.âŻÂ
Job Description Â
Uses best practices, with limited coaching, to developâŻmachine learning and geospatial techniques to build models that address business needsÂ
Utilizes effective project planning techniques to break down basic and occasionally moderately complex projects into tasks and ensure deadlines are keptÂ
Uses and learns a wide variety of tools and languages to achieve results (e.g., Python, Spark, SQL)Â
Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modelingÂ
Innovates on projects by using predictive modeling techniques, deep learning techniques or toolsÂ
Executes on modeling/machine learning projects effectivelyÂ
Reviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadershipÂ
Job Qualifications Â
Target Start date: May/June 2025Â
Currently pursuing a master or PhD degree (strongly preferred) in a quantitative field (e.g. mathematics, statistics, computer or physical science)Â
Ability to solve problems, think critically, and communicate clearlyÂ
Knowledge of statistical modeling, machine learning, mathematical optimization, and/or data mining from graduate level course workÂ
Proven capability of executing end-to-end analytics projects from capstone projects, research projects, or past intern experienceÂ
Demonstrated fluency with Python or R programmingÂ
Experience with Spark or AWS computing services such as EMR, Glue, Sagemaker or data warehouse service like BigQuery is a plusÂ
Understanding of algorithmic scaling and complexity is a plusÂ
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-OrientedCompensation
The candidate(s) offered this position will be required to submit to a background investigation.
Joining our team isnât just a job â itâs 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. Â
Youâll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, weâve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.Â
Good Hands. Greater Together.
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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Tags: AWS BigQuery Data Mining Data pipelines Data warehouse Deep Learning Machine Learning Mathematics PhD Pipelines Predictive modeling Python R Research SageMaker Spark SQL Statistical modeling Statistics
Perks/benefits: Career development Health care Insurance Medical leave
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