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.

Business

Title:

Data Scientist Consultant I or II*

• 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, deploying ML/AI solutions, with exposure to observability, security, and efficient use of LLMs.

• Reporting 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.

• 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.

• Support project planning by breaking down AI/predictive modeling tasks into manageable subtasks, tracking progress, and meeting deadlines.

• Apply 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 techniques and results with peers and mentors, communicating findings and incorporating feedback.

• Contribute to stakeholder communications by preparing summaries, documentation, and analysis to support senior team members in influencing partners and leaders.

• Work with guidance to understand business problems and help select appropriate modeling approaches.

• Assist in developing prototypes and frameworks that integrate data and modeling into business decision‑making processes.

• 1+ years of professional experience as Data Scientist, Machine Learning Engineer, Applied Research professional, or related experiences
• 2+ 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, Tensor Flow, PyTorch).
• Experience with prompt engineering for LLMs
• You bring solid data‑science fundamentals and don't stop at exploratory analysis. You're interested in testing hypotheses, evaluating trade‑offs, 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.

• Bachelors or master's in data science, STEM sciences or related field
• Prior experience or high interest in Enterprise Risk Management or AI governance work
• Prior experience working in insurance or related regulated industries
• Strong…