Data Scientist - Agentic AI; Hybrid TLNT_NI

Position: Data Scientist - Agentic AI (Hybrid) TLNT1_NI
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.

Your role in the team As a Data Scientist in Allstate's AI Risk, Governance and Research area, you'll 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. 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.

Key Responsibilities Learns and applies LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems. Assists in exploring new data sources, research, and models under direction from 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. Executes analytical and modeling tasks as part of a larger project team.

Applies standard best practices to develop statistical and machine learning techniques to build 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.

Your role in the team As a Data Scientist in Allstate's AI Risk, Governance and Research area, you'll 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. 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.

Key Responsibilities Learns and applies LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems. Assists in exploring new data sources, research, and models under direction from 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. Executes analytical and modeling tasks as part of a larger project team.

Applies standard best practices to develop statistical and machine learning techniques to build models that address business needs and improve data quality and decision making. Reviews and discusses 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…