Senior Data Scientist - Agentic AI
Listed on 2026-02-28
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Job Description
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.
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.
Key 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 recommendations 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 understands 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.
- 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, Tensor Flow, PyTorch).
- AWS Bedrock / Azure Foundry experience.
- AI agent development using at least one framework (e.g., Azure AF, AWS Strands, Google ADK, Lang Graph, OpenAI Agents SDK).
- Nice to have:
Prior risk management or AI governance experience.
- 3 or more years of experience (Preferred).
- AI Agents
- AI Governance
- Communication
- Computer Programming
- Data Analytics
- Data Science
- Machine Learning (ML)
- Product Road mapping
- Python (Programming Language)
- Tensorflow
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.
CompensationCompensation offered for this role is - annually and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation.
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