Role DesignationHybrid with a requirement to go into our Toronto office twice a month.BenefitsFlexible Work Arrangements.Employee discounts (15% on auto and property insurance, plus many other products and services).Positive Office program (receive up to $400 back after purchasing office equipment).Student Loan Payment Matching Program for Government Student loans.Comprehensive Retirement Savings Program with employer matched contributions.Annual Wellness allowance to support employees with improving health and wellbeing.Personal days.Tuition Reimbursement.Working within the community and giving back.Job DescriptionIn 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.AccountabilitiesOwn end‑to‑end delivery of data science projects, from business problem definition to technical solution and implementation.Develop predictive models, natural language processing solutions, and other advanced analytics to drive measurable business impact.Partner with stakeholders across various business units to translate business needs into actionable technical solutions.Lead coding and development using Python, Azure, and other data science toolkits,



ensuring scalability and performance.Maintain project documentation and ensure compliance with governance standards while supporting ongoing system reliability.Collaborate within a lean, high‑performing team to share knowledge, troubleshoot challenges, and deliver cross‑functional initiatives.Drive adoption of new technologies and methodologies, leveraging Azure & Fabric to modernize analytics capabilities.Provide thought leadership and insights that influence business strategy, cost optimization, and revenue growth.QualificationsDemonstrated 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.Knowledge and usage of SAS and SQL, Java or VBA.Business and analytics acumen to run and interpret the results of models – turn large amounts of complex, detailed information into clear summaries and business recommendations.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.SkillsArtificial Intelligence Markup Language, Business Case Analyses, Data Analytics, Predictive Modeling, Waterfall ModelCompensationExpected compensation for this role ranges from $80,900.00 - 129,725.00 annually. Actual salary offered to successful candidates will vary based on their skills and experience.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.#J-18808-Ljbffr

📌 Data Scientist - $80,900 - $129,725 A Year (Winnipeg)
🏢 Allstate Canada Group
📍 Winnipeg