Data Scientist – Agentic AI; Hybrid

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At Allstate in Northern Ireland, we're not just keeping pace — we're setting it. As Al...

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 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.

• 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 business partners and leaders.
• Works with guidance to understand business problems and requirements and help identify appropriate modeling approaches.
• Assists in developing prototypes and frameworks that integrate data and machine learning/predictive modeling into business decision‑making processes.

All applicants must demonstrate they have a legal right to work in the UK for employment state is not providing sponsorship for this vacancy.

A minimum 3 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).

Working knowledge or coursework exposure to CI/CD pipelines, containerization (Docker), observability concepts, and cloud security fundamentals.

Introductory experience or strong interest in AI agent development using at least one framework (e.g., Azure AF, AWS Strands, Google ADK, Lang Graph, OpenAI Agents SDK).

Interest in or exposure to risk management or AI governance concepts.

Exposure to AWS Bedrock and/or Azure Foundry through projects, coursework, or on‑the‑job experience.

Basic familiarity with Infrastructure as Code (IaC) concepts and tools for provisioning and managing cloud resources.

Familiarity with building no‑code/low‑code agents using M365.

A degree of any level in a quantitative field such as mathematics, physics or computer science with classification of 2.1 or higher (or equivalent).

• This job does not have supervisory duties.

AI Agents, Business Case Analyses, Data Analytics, Data Science, Machine Learning (ML), Machine Learning Algorithms, Machine Learning Methods, Predictive Analytics, Predictive Modeling, Python (Programming Language), Structured Query Language (SQL), Waterfall Model

As well as receiving a competitive annual salary, our reward package includes:

• Annual performance‑related pay reviews
• Life assurance and income protection
• Flexible working options
• Private medical and dental insurance
• Access to an employee assistance programme
• Discounted gym membership
• Two paid volunteering days each year
• Cycle to work scheme

Be part of a high‑performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way.