Data Scientist

• Through our Employee Value Proposition, we have worked hard to develop and nurture a culture where employees feel valued, experience personal growth, have career options and truly enjoy the work they do. Role Designation : Hybrid with a requirement to go into our Toronto office twice a month. Benefits to joining Allstate Job Description In this role, you’ll have a front-row seat to the entire insurance ecosystem—claims, underwriting, pricing, and even broader business areas like HR and marketing. You won’t just observe; you’ll work on high-impact projects that drive real results. From day one, you’ll dive into stakeholder data, blending quantitative insights with business expertise to build predictive models that shape smarter decisions. Your work will go beyond theory—every model you create will deliver actionable insights and innovative solutions that move the needle for the company. You’ll collaborate closely with fellow data scientists and business leaders, turning ideas into strategies that improve performance and strengthen the bottom line. Collaborate within a lean, high-performing team to share knowledge, troubleshoot challenges, and deliver cross-functional initiatives. Qualifications : Demonstrated experience in machine learning and analytics, ideally within a professional services firm or similar environment, with a strong background in implementing and optimizing machine learning algorithms to solve regression, classification, and segmentation problems Proven experience in implementing data transformations and text matching algorithms using Python.Hands on experience with Python Tech Stack, Azure ML and MS Fabric Excellent collaboration skills and the ability to work in a team environment and across multiple sites and business units. Excellent communication and interpersonal skills - be able to effectively communicate complex results to a business audience not familiar with complex data and analytics. Allstate Canada Group has policies and practices that provide workplace accommodations. If you require accommodation, please let us know and we will work with you to meet your needs.

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