Data Scientist
Location: Canadian Head Office
Remote Type: Hybrid
Time Type: Full time
Job Description
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
Who is Allstate:
Allstate Insurance Company of Canada is a leading home and auto insurer focused on providing its customers prevention and protection products and services for every stage of life. Serving Canadians since 1953, Allstate strives to reassure both customers and employees with its “You’re in Good Hands®” promise and is proud to have been named a Best Employer in Canada for nine consecutive years. Allstate is committed to making a positive difference in the communities in which it operates through partnerships with charitable organizations, employee giving and volunteerism. To learn more, visit www.allstate.ca. For safety tips and advice, visit www.goodhandsadvice.ca.
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
Flexible Work Arrangements.
Employee discounts (15% on auto and property insurance, plus many other products and services).
Good 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 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.
Accountabilities:
Own 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.
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
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.
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.
#LI-AV2
Skills
Compensation
Expected 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.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 Canada Group uses AI technology tools to assist in screening, selecting, assessing, and scheduling interviews with candidates as part of the recruitment process.
This job posting is for a current open role within the organization.
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