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

Business Title: Data Scientist Consultant I or II*

Team, Scope & Environment (Concise)

• The AI Risk, Governance, and Research team is reinventing AI governance through continuous, data-driven oversight, building systems that monitor, assess, and quantify risk as AI solutions evolve in real time. real time. The team uses data science and quantitative methods to identify meaningful risks, align with industry practices, and translate them into measurable signals using diverse internal and external data sources.

• You'll join a balanced team across experience levels, fostering collaboration and deep skill development.

• Positioned within the Enterprise Risk Organization, the work is highly visible and cross-functional, involving close partnership with data scientists, engineers, and governance leaders shaping AI trust at scale.

• In this role, you'll contribute to building and deploying ML/AI solutions, with exposure to observability, security, and efficient use of LLMs.

Data Scientist- Overall work scope

• Reporting to the Senior Manager, Data Science, you'll support the end-to-end lifecycle of data-driven agentic solutions, from data exploration to development, deployment, and monitoring-under senior guidance.

• You'll gain hands-on experience building AI agents and cloud-based solutions, while learning to maintain scalable, production-ready systems.

• You'll collaborate across teams to apply best practices and reusable components, ensuring consistent, high-quality agent development.

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, skills and experiences:

• 1+ years of professional experience as Data Scientist, Machine Learning Engineer, Applied Research professional, or related experiences

• 2+ years ofhands on, practical experience using Python for data analysis, modelling, and building production ready solutions, along with experience using other modern data science tools (R, SQL, TensorFlow,PyTorch).

• Experience with prompt engineering for LLMs

• 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.

Preferred education, skills and experiences:

• Bachelors or master's in data science, STEM sciences or related field

• Prior experience or high interest in Enterprise Risk Management or AI governance related work

• Prior experience working in Insurance or related regulated 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.

Note* : This position is posted at multiple levels to support career growth and alignment. Final placement and job title will be based on the selected candidate's skills, experience, and qualifications. An offer may be made for either the Data Scientist Consultant I or Data Scientist Consultant II role, providing an opportunity for ongoing development and progression within the AI Risk, Governance and Research team.

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.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.