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 DescriptionBusiness 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 scopeReporting 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 experiences2+ years of hands 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 LLMsYou 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 fieldPrior experience or high interest in Enterprise Risk Management or AI governance related workPrior experience working in Insurance or related regulated industriesStrong theoretical exposure or practical experience with Infrastructure as Code (IaC) frameworks to provision and manage cloud resourcesStrong understanding of CI/CD pipelines, containerization (Docker), observability tools, and cloud security practices.Exposure or practical experiences in Azure Foundry, or AWS BedrockIntroductory 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.SkillsAI Agents, AI Governance, Applied Machine Learning, Machine Learning (ML), Machine Learning Algorithms, Predictive Analytics, Predictive Modeling, Python (Programming Language), PyTorchCompensationCompensation 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 me