Senior Data Scientist - Agentic AI

Allstate • McCullom Lake, IL

21h

About The Position

As a Senior Data Scientist in Allstate’s AI Risk, Governance and Research area, you’ll be responsible for the creation of comprehensive data-driven agentic solutions, from data collection, model/agent development to deployment and ongoing support. Your experience designing and implementing AI agents, cloud-based AI solutions and maintaining scalable AI systems will help drive success. You’ll collaborate across teams to establish best practices and reusable components, ensuring consistent and high-quality execution of agents . As a team member, you’ll actively participate in the development and deployment of machine learning, AI solutions, with a focus on observability, security, and efficient LLM utilization.

Requirements

• Experience in building and optimizing cloud-based machine learning systems, with proficiency in at least one major cloud provider.
• 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.
• Familiarity with modern data science tools and libraries (e.g., Python, R, SQL, TensorFlow, PyTorch).
• AWS Bedrock / Azure Foundry experience
• AI agent development using at least one framework (e.g., Azure AF, AWS Strands, Google ADK, LangGraph, OpenAI Agents SDK)

Nice To Haves

• Prior risk management or AI governance experience

Responsibilities

• Identifies LLMs, programming languages, and tools that can bring efficiencies or needed techniques to the team. Identifies new areas of data, research and models and develops data sources that can solve business problems.
• Utilizes effective project planning techniques to break down AI/predictive modeling and/or development tasks into manageable subtasks, and ensure deadlines are kept. Executes various analytical and modeling projects while collaborating with peers, as needed.
• Uses best practices to develop complex statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions
• Reviews, evaluates, communicates, and makes recommendation on appropriateness of AI/modeling techniques and results to team, leadership, and stakeholders to ensure these are well understood and incorporated into business processes.
• Develops and executes communication strategy, keeping stakeholders informed and influencing business partners and senior leaders on the effectiveness of machine learning/predictive modeling to solve business problems.
• Collaborates with outside business units and works on data and complex business problems to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models.
• Effectively understand the business' problems and requirements to identify the optimal modeling approach.
• Develops frameworks/prototypes that integrate data and machine learning/predictive modeling to make business decisions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed