Allstate

Data Scientist

Key aspects of the role:

Drive sales growth by engaging with interested prospective customers- all while working remote
No cold calling— Connect through inbound calls and proactive outbound calls with active insurance shoppers
Enjoy competitive compensation with a base salary + uncapped commissions
Sell reputable products from Allstate and our family of brands

Role overview

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

Compensation

Expected compensation for this role ranges from $ 77,000.00 – 123,500.00 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.

Keys to Success

At Allstate, it’s all about teamwork, flexibility, and thinking ahead. We all contribute to the bigger picture, combining unique ideas to design innovative, more affordable protection solutions for customers.

We look for candidates with these skills to help us achieve that goal:

Learning agility
Quickly adapt to new situations, continually build new skills, experiment, and embrace new ways of doing things

Customer centricity
Deliver exceptional experience with a customer-first mindset and human-centered design

Digital literacy
Discover and apply emerging digital technology tools, data and insights.

Results-oriented
Start with measurable outcomes and drive results with speed

Inclusive leadership
Integrate diverse viewpoints into decision-making processes to enhance creativity and innovation

Together, we’re all working toward Our Shared Purpose, using our strengths to make a real difference for our people, our customers, our company, and the world around us.

Working in Sales

What We Do:
As an expert on our products and services, you can give customers personalized attention and innovative solutions to make their lives easier.

How We Support You:
Starting day one, you’ll have access to resources and incentives to keep you feeling challenged and excited about your careers.

Make An Impact:
As a member of our sales team, you’ll bring a sense of ease and support to customers looking for a better understanding of their protection options. Whether in the field or talking to customers over the phone, you’ll continue to build trust in who we are and what we do.

Working together

You’re in Good Hands® is more than a promise we make to our customers. It’s a promise we make to our employees, too.

We want you to love where you work. That starts with the freedom to be yourself. Our workplace flexibility and focus on individuality means everyone is seen, heard and respected.

When you join us, you’ll have the opportunity to push your skills to the next level with access to development programs to support your career aspirations – whatever that means for you. Because as you learn and grow, so do we.

Working here also means getting the chance to make a real impact in your community. We have been driving change for over 90 years, but the mark we leave on the world can be even greater when we work together.

Role overview

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.