Allstate
Data Scientist – Agentic AI (Enterprise Risk Management & AI Governance)
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
Domain: Enterprise Risk Management and AI Governance
The team, its scope & environment
-
The AI Risk, Governance and Research team is re-imagining AI governance and risk management using modern data science and AI capabilities. Instead of treating governance as a one-time checkpoint, the goal is to build continuous, data driven oversight, systems that monitor, assess, and quantify risk as AI solutions evolve in real time. The focus is on understanding what risks matter, how those risks are managed across the industry, and how best practices translate into practical, measurable signals. Team members use quantitative thinking and data science techniques to surface evidence of risk from a wide range of information sources, both internal and external to Allstate.
-
You’ll join a core team that is intentionally structured to include a balanced mix of entry level, mid-career, senior, and expert level contributors, creating an environment that supports both collaboration and deep technical and functional expertise growth.
-
Because the team sits within the broader Enterprise Risk Org, the work is inherently crosscutting and high visibility. You’ll collaborate with other data scientists, engineers, and governance partners who are shaping how AI is evaluated, monitored, and trusted at scale, well beyond a single product or application.
-
As a team member, you’ll contribute to the development and deployment of machine learning and AI solutions, with exposure to observability, security, and efficient LLM utilization.
Data Scientist- Overall work scope
-
Reporting to the Senior Manager, Data Science, you will support the development and maintenance of data driven agentic solutions, working under the guidance of senior team members across the full lifecycle, from data collection and exploratory analysis to model/agent development, deployment, and monitoring.
-
You will build foundational experience designing and implementing AI agents and cloud-based AI solutions, while learning how to maintain scalable AI systems in production environments.
-
You’ll collaborate across teams to learn and apply established best practices and reusable components, helping ensure consistent and high-quality execution of agents.
Our ideal candidate:
-
You bring solid data science fundamentals and don’t stop at exploratory analysis. You’re interested in testing hypotheses, evaluating tradeoffs, and refining approaches to arrive at solutions that can be realistically delivered within real world constraints.
-
You care about outcomes, not just insights, and are comfortable moving work forward with structure and follow through.
-
You understand how to prioritize, iterate, and deliver within timelines while maintaining analytical rigor.
Day in the life (essential functions):
-
Learn and apply LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems.
-
Assist in exploring new data sources, research, and models under the direction of senior team members.
-
Supports project planning efforts by breaking down AI/predictive modeling and development tasks into manageable subtasks, tracking progress, and meeting assigned deadlines. Execute analytical and modeling tasks as part of a larger project team.
-
Apply standard best practices to develop statistical and machine learning techniques to build models that address business needs and improve data quality and decision making.
-
Review and discuss AI/modeling techniques and results with peers and mentors, clearly communicating findings and incorporating feedback.
-
Contributes to stakeholder communications by preparing summaries, documentation, and analysis to support senior team members in influencing business partners and leaders.
-
Work with guidance to understand business problems and requirements and help identify appropriate modeling approaches.
-
Assist in developing prototypes and frameworks that integrate data and machine learning/predictive modeling into business decision making processes.
Required Qualifications:
-
0 to 2 years of relevant experience
Preferred education, skills and experiences:
-
Bachelors or master's in data science, STEM sciences or related field
-
One plus year(s) of professional/practical experience as Data Scientist, Machine Learning Engineer, Applied Research professional, or relevant and impactful business internships experience
-
Prior experience or high interest in Enterprise Risk Management or AI governance related work
-
Prior experience working in Insurance or related industries
-
Strong theoretical exposure or practical experience with Infrastructure as Code (IaC) frameworks to provision and manage cloud resources
-
Strong understanding of CI/CD pipelines, containerization (Docker), observability tools, and cloud security practices.
-
Exposure or practical experiences in Azure Foundry, or AWS Bedrock
-
Introductory experience or strong interest in AI agent development using at least one framework (e.g., Azure AF, AWS Strands, Google ADK, LangGraph, OpenAI Agents SDK).
-
Familiarity with building no-code/low-code agents using M365.
Synonymic titles: Applied Data Scientist, Software Engineer- Data Science.
Skills
AI Agents, AI Governance, Applied Machine Learning, Machine Learning (ML), Machine Learning Algorithms, Predictive Analytics, Predictive Modeling, Python (Programming Language), PyTorch
Compensation
Compensation offered for this role is 85,000.00 – 145,075.00 annually and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation.
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 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.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
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
Domain: Enterprise Risk Management and AI Governance
The team, its scope & environment
-
The AI Risk, Governance and Research team is re-imagining AI governance and risk management using modern data science and AI capabilities. Instead of treating governance as a one-time checkpoint, the goal is to build continuous, data driven oversight, systems that monitor, assess, and quantify risk as AI solutions evolve in real time. The focus is on understanding what risks matter, how those risks are managed across the industry, and how best practices translate into practical, measurable signals. Team members use quantitative thinking and data science techniques to surface evidence of risk from a wide range of information sources, both internal and external to Allstate.
-
You’ll join a core team that is intentionally structured to include a balanced mix of entry level, mid-career, senior, and expert level contributors, creating an environment that supports both collaboration and deep technical and functional expertise growth.
-
Because the team sits within the broader Enterprise Risk Org, the work is inherently crosscutting and high visibility. You’ll collaborate with other data scientists, engineers, and governance partners who are shaping how AI is evaluated, monitored, and trusted at scale, well beyond a single product or application.
-
As a team member, you’ll contribute to the development and deployment of machine learning and AI solutions, with exposure to observability, security, and efficient LLM utilization.
Data Scientist- Overall work scope
-
Reporting to the Senior Manager, Data Science, you will support the development and maintenance of data driven agentic solutions, working under the guidance of senior team members across the full lifecycle, from data collection and exploratory analysis to model/agent development, deployment, and monitoring.
-
You will build foundational experience designing and implementing AI agents and cloud-based AI solutions, while learning how to maintain scalable AI systems in production environments.
-
You’ll collaborate across teams to learn and apply established best practices and reusable components, helping ensure consistent and high-quality execution of agents.
Our ideal candidate:
-
You bring solid data science fundamentals and don’t stop at exploratory analysis. You’re interested in testing hypotheses, evaluating tradeoffs, and refining approaches to arrive at solutions that can be realistically delivered within real world constraints.
-
You care about outcomes, not just insights, and are comfortable moving work forward with structure and follow through.
-
You understand how to prioritize, iterate, and deliver within timelines while maintaining analytical rigor.
Day in the life (essential functions):
-
Learn and apply LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems.
-
Assist in exploring new data sources, research, and models under the direction of senior team members.
-
Supports project planning efforts by breaking down AI/predictive modeling and development tasks into manageable subtasks, tracking progress, and meeting assigned deadlines. Execute analytical and modeling tasks as part of a larger project team.
-
Apply standard best practices to develop statistical and machine learning techniques to build models that address business needs and improve data quality and decision making.
-
Review and discuss AI/modeling techniques and results with peers and mentors, clearly communicating findings and incorporating feedback.
-
Contributes to stakeholder communications by preparing summaries, documentation, and analysis to support senior team members in influencing business partners and leaders.
-
Work with guidance to understand business problems and requirements and help identify appropriate modeling approaches.
-
Assist in developing prototypes and frameworks that integrate data and machine learning/predictive modeling into business decision making processes.
Required Qualifications:
-
0 to 2 years of relevant experience
Preferred education, skills and experiences:
-
Bachelors or master's in data science, STEM sciences or related field
-
One plus year(s) of professional/practical experience as Data Scientist, Machine Learning Engineer, Applied Research professional, or relevant and impactful business internships experience
-
Prior experience or high interest in Enterprise Risk Management or AI governance related work
-
Prior experience working in Insurance or related industries
-
Strong theoretical exposure or practical experience with Infrastructure as Code (IaC) frameworks to provision and manage cloud resources
-
Strong understanding of CI/CD pipelines, containerization (Docker), observability tools, and cloud security practices.
-
Exposure or practical experiences in Azure Foundry, or AWS Bedrock
-
Introductory experience or strong interest in AI agent development using at least one framework (e.g., Azure AF, AWS Strands, Google ADK, LangGraph, OpenAI Agents SDK).
-
Familiarity with building no-code/low-code agents using M365.
Synonymic titles: Applied Data Scientist, Software Engineer- Data Science.
Skills
AI Agents, AI Governance, Applied Machine Learning, Machine Learning (ML), Machine Learning Algorithms, Predictive Analytics, Predictive Modeling, Python (Programming Language), PyTorch
Compensation
Compensation offered for this role is 85,000.00 – 145,075.00 annually and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation.
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 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.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
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 Claims
What We Do:
Your ability to quickly and calmly make smart decisions can make a huge difference in how confident customers feel throughout the claims process. And as you support our customers, we’re there to support you.
How We Support You:
We empower your success starting day one. You’ll have access to everything you need to grow professionally while helping our customers get their lives back on track.
Make An Impact:
Helping customers with their claims is about learning their stories, not just processing their paperwork. You can take pride in the fact that you’re providing invaluable guidance and helping to build continued trust in our company.
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
Domain: Enterprise Risk Management and AI Governance
The team, its scope & environment
-
The AI Risk, Governance and Research team is re-imagining AI governance and risk management using modern data science and AI capabilities. Instead of treating governance as a one-time checkpoint, the goal is to build continuous, data driven oversight, systems that monitor, assess, and quantify risk as AI solutions evolve in real time. The focus is on understanding what risks matter, how those risks are managed across the industry, and how best practices translate into practical, measurable signals. Team members use quantitative thinking and data science techniques to surface evidence of risk from a wide range of information sources, both internal and external to Allstate.
-
You’ll join a core team that is intentionally structured to include a balanced mix of entry level, mid-career, senior, and expert level contributors, creating an environment that supports both collaboration and deep technical and functional expertise growth.
-
Because the team sits within the broader Enterprise Risk Org, the work is inherently crosscutting and high visibility. You’ll collaborate with other data scientists, engineers, and governance partners who are shaping how AI is evaluated, monitored, and trusted at scale, well beyond a single product or application.
-
As a team member, you’ll contribute to the development and deployment of machine learning and AI solutions, with exposure to observability, security, and efficient LLM utilization.
Data Scientist- Overall work scope
-
Reporting to the Senior Manager, Data Science, you will support the development and maintenance of data driven agentic solutions, working under the guidance of senior team members across the full lifecycle, from data collection and exploratory analysis to model/agent development, deployment, and monitoring.
-
You will build foundational experience designing and implementing AI agents and cloud-based AI solutions, while learning how to maintain scalable AI systems in production environments.
-
You’ll collaborate across teams to learn and apply established best practices and reusable components, helping ensure consistent and high-quality execution of agents.
Our ideal candidate:
-
You bring solid data science fundamentals and don’t stop at exploratory analysis. You’re interested in testing hypotheses, evaluating tradeoffs, and refining approaches to arrive at solutions that can be realistically delivered within real world constraints.
-
You care about outcomes, not just insights, and are comfortable moving work forward with structure and follow through.
-
You understand how to prioritize, iterate, and deliver within timelines while maintaining analytical rigor.
Day in the life (essential functions):
-
Learn and apply LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems.
-
Assist in exploring new data sources, research, and models under the direction of senior team members.
-
Supports project planning efforts by breaking down AI/predictive modeling and development tasks into manageable subtasks, tracking progress, and meeting assigned deadlines. Execute analytical and modeling tasks as part of a larger project team.
-
Apply standard best practices to develop statistical and machine learning techniques to build models that address business needs and improve data quality and decision making.
-
Review and discuss AI/modeling techniques and results with peers and mentors, clearly communicating findings and incorporating feedback.
-
Contributes to stakeholder communications by preparing summaries, documentation, and analysis to support senior team members in influencing business partners and leaders.
-
Work with guidance to understand business problems and requirements and help identify appropriate modeling approaches.
-
Assist in developing prototypes and frameworks that integrate data and machine learning/predictive modeling into business decision making processes.
Required Qualifications:
-
0 to 2 years of relevant experience
Preferred education, skills and experiences:
-
Bachelors or master's in data science, STEM sciences or related field
-
One plus year(s) of professional/practical experience as Data Scientist, Machine Learning Engineer, Applied Research professional, or relevant and impactful business internships experience
-
Prior experience or high interest in Enterprise Risk Management or AI governance related work
-
Prior experience working in Insurance or related industries
-
Strong theoretical exposure or practical experience with Infrastructure as Code (IaC) frameworks to provision and manage cloud resources
-
Strong understanding of CI/CD pipelines, containerization (Docker), observability tools, and cloud security practices.
-
Exposure or practical experiences in Azure Foundry, or AWS Bedrock
-
Introductory experience or strong interest in AI agent development using at least one framework (e.g., Azure AF, AWS Strands, Google ADK, LangGraph, OpenAI Agents SDK).
-
Familiarity with building no-code/low-code agents using M365.
Synonymic titles: Applied Data Scientist, Software Engineer- Data Science.
Skills
AI Agents, AI Governance, Applied Machine Learning, Machine Learning (ML), Machine Learning Algorithms, Predictive Analytics, Predictive Modeling, Python (Programming Language), PyTorch
Compensation
Compensation offered for this role is 85,000.00 – 145,075.00 annually and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation.
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 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.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
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 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.
Benefits
Experience the benefits that make Allstate a great place to work.
*Benefits vary based on position.
Health
- Medical, dental and vision coverage
- HSAs and FSAs
- Wellbeing programs
- Free therapy sessions
Retirement
- 401(k) plan
- Pension plan
- Free financial counseling
Work-life balance
- Paid time off
- Work flexibility
Career development
- Talent shares
- Tuition reimbursement
- Learning opportunities
For a full description of Allstate’s benefits visit our benefits page
Start making a difference
Realize your full potential by doing
work that matters.
Grow your career in meaningful ways.
We want to make sure you have every opportunity to grow, explore new horizons and follow your passion in a meaningful career. It’s an exciting time to join Allstate. Help us shape the future.
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