[Remote] Data Scientist – Agentic AI (Enterprise Risk Management & AI Governance)
Note: The job is a remote job and is open to candidates in USA. Allstate is a leading company focused on protecting families and their belongings from uncertainties. They are seeking a Data Scientist to support the development and maintenance of data-driven AI solutions, collaborating with a team to design and implement AI agents and cloud-based solutions while ensuring high-quality execution of projects.
Responsibilities
- 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
Skills
- 0 to 2 years of relevant experience
- Bachelors or master's in data science, STEM sciences or related field
- One plus year(s) of professional/practical experience as Data Scientist, Machine Learning Engineer, Applied Research professional, or relevant and impactful business internships experience
- Prior experience or high interest in Enterprise Risk Management or AI governance related work
- Prior experience working in Insurance or related 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
Company Overview