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Allstate

Data Scientist – Agentic AI

Allstate

Data Scientist developing data-driven agentic solutions for Allstate's AI Risk, Governance and Research area. Collaborating on AI development, deployment, and stakeholder communications.

Posted 6/5/2026full-timeBelfast • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDockerPythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact
  • Support the development and maintenance of data driven agentic solutions
  • Collaborate across teams to learn and apply established best practices and reusable components
  • 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
  • Contribute to stakeholder communications by preparing summaries, documentation, and analysis
  • 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

Requirements

What you’ll need
  • A minimum 3 years of hands on , practical experience using Python for data analysis, modelling, and building production ready solutions
  • Experience using other modern data science tools (R, SQL, TensorFlow, 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, LangGraph , 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)

Benefits

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

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Hard Skills & Tools
Pythondata analysismodelingstatistical techniquesmachine learningRSQLTensorFlowPyTorchInfrastructure as Code
Soft Skills
collaborationcommunicationanalytical thinkingproblem-solving