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.
Your role in the team
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.
Key Responsibilities
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.
Essential Skills:
All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate 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, 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).
Desirable Skills:
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).
Supervisory Responsibilities:
This job does not have supervisory duties.
Posting date: Friday 12th June 2026 {11.59pm}
Skills
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 ModelShape the Future of Insurance with Cutting-Edge Tech and a People-First Culture
Why join us?
Allstate NI is proud to be Allstate’s European Digital Centre of Excellence, a hub for innovation and engineering excellence. We’re recent winners of Best Place to Work in IT (100+ employees) and Best Use of Cloud Services at the Belfast Telegraph IT Awards, and we’ve been recognised for our community and sustainability impact with Platinum in the Northern Ireland Environmental Benchmarking Survey.
We’re a product-driven, cloud-first organisation delivering real outcomes through modern technology, a digital product-centric talent model, and a culture rooted in engineering excellence. Our teams work in cross-functional structures, guided by an outcome-based delivery approach that accelerates speed, agility, and value.
We also invest in you. At Allstate NI, your career growth matters. You’ll have access to our Continuous Learning Hub, designed to support skills development and professional advancement through tailored learning paths, certifications, and mentoring opportunities. Whether you’re deepening technical expertise or exploring leadership roles, we provide the tools and support to help you thrive.
What do you get in return?
As well as receiving a competitive annual salary, our reward package includes:
- 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
Be part of a high-performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way.
Skills Required
- Legal right to work in the UK; employer does not provide visa sponsorship
- Minimum 3 years hands-on experience using Python for data analysis, modeling, and building production-ready solutions
- Experience using R for data analysis or modeling
- Experience using SQL for data querying and manipulation
- Experience using TensorFlow for model development
- Experience using PyTorch for model development
- Working knowledge or coursework exposure to CI/CD pipelines
- Working knowledge or coursework exposure to containerization (Docker)
- Working knowledge or coursework exposure to observability concepts
- Working knowledge or coursework exposure to 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 cloud resources
- Familiarity with building no-code/low-code agents using M365
- A degree in a quantitative field (e.g., mathematics, physics, computer science) with classification of 2.1 or higher (or equivalent)
Allstate Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Allstate and has not been reviewed or approved by Allstate.
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Retirement Support — Retirement offerings include a 401(k) with company match and a company-funded pension, providing notable long-term value. These features are described as standout components of the package.
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Leave & Time Off Breadth — Paid time off is described as generous, with vacation and parental leave available. This breadth of leave supports work-life needs for a range of situations.
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Flexible Benefits — Flexible work arrangements include options for in-office, remote, or hybrid work. This flexibility is positioned as a meaningful part of the total rewards experience.
Allstate Insights
What We Do
At Allstate, we're advocates for peace of mind and a good life. And that comes through in everything we do. From building diverse and innovative teams that truly understand our customers' needs, to challenging each other to develop our careers in a meaningful way, and finally to the incredible results we're able to achieve together. See how we’re creating a better future through innovation, advocacy, and empowering people and communities
