Data Scientist – Agentic AI (Enterprise Risk Management & AI Governance)

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

Compensation

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.