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
This role contributes to the development and maintenance of data-driven solutions that improve business decision making. Working closely with the Managing Data Scientist and cross-functional partners, the individual will participate in the full analytics lifecycle, including data acquisition, exploratory analysis, model development, deployment support, monitoring, and communication of results.The role is expected to apply statistical, machine learning, and emerging AI techniques to solve business problems while continuing to build technical depth and business understanding. The successful candidate will demonstrate growing independence in project execution, curiosity for learning new technologies, and the ability to collaborate effectively with both technical and non-technical stakeholders.
Key responsibilities:
Collaborate with team members and business partners to improve decision making through analytics, machine learning, and AI-driven solutions.
Apply statistical and machine learning techniques to develop models and analytical solutions that address business needs.
Utilize effective project planning techniques to break work into manageable tasks and deliver against established timelines.
Explore, prepare, and analyze data sources to support modeling and business insights.
Contribute to the development, testing, deployment, and monitoring of ML and AI solutions.
Evaluate, communicate, and document modeling approaches, results, assumptions, and recommendations for technical and non-technical audiences.
Leverage modern development tools, including AI-assisted coding solutions, to improve productivity and code quality.
Research and experiment with new analytical methods, data sources, and technologies to improve team capabilities and business outcomes.
Collaborate with peers through code reviews, knowledge sharing, and adoption of team best practices.
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.
Minimum of 2 years of hands-on experience using Python to solve analytical, data science, machine learning, or data engineering problems.
Foundational understanding of statistics, machine learning, and data analysis techniques, with experience applying those concepts to real-world business, academic, or personal projects.
Strong problem-solving, communication, and collaboration skills.
Ability to independently execute well-defined work while seeking guidance appropriately.
Demonstrated willingness to continuously learn and adopt new tools, technologies, and ways of working.
Desirable Skills:
Experience developing predictive models in a business environment.
Exposure to cloud platforms such as Azure or AWS.
Experience supporting deployed analytics, machine learning, or AI solutions.
Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, or similar technologies.
Exposure to LLMs, generative AI, AI agents, or agent orchestration frameworks.
Familiarity with CI/CD, containerization (Docker), or software engineering best practices.
Exposure to model governance, risk management, or MLOps practices.
Experience with additional analytical tools or frameworks such as PyTorch, TensorFlow, R, or similar technologies.
Master’s degree in a quantitative or technical discipline, or equivalent practical experience.
Job Posting End Date: Friday 11th September
#LI-TR3
Skills
Business Case Analyses, Data Analytics, Data Engineering, Data Science, Predictive Analytics, Predictive Modeling, Python (Programming Language), 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 for employment at Allstate
- At least 2 years of hands-on experience using Python for analytical, data science, machine learning, or data engineering problems
- Foundational understanding of statistics, machine learning, and data analysis techniques
- Experience applying statistical, machine learning, or data analysis concepts to real-world business, academic, or personal projects
- Strong problem-solving, communication, and collaboration skills
- Ability to independently execute well-defined work while seeking guidance appropriately
- Willingness to continuously learn and adopt new tools, technologies, and ways of working
- Experience developing predictive models in a business environment
- Exposure to cloud platforms such as Azure or AWS
- Experience supporting deployed analytics, machine learning, or AI solutions
- Experience using AI-assisted development tools such as GitHub Copilot or Claude Code
- Exposure to LLMs, generative AI, AI agents, or agent orchestration frameworks
- Familiarity with CI/CD, Docker, containerization, or software engineering best practices
- Exposure to model governance, risk management, or MLOps practices
- Experience with PyTorch, TensorFlow, R, or similar analytical tools and frameworks
- Master's degree in a quantitative or technical discipline, or equivalent practical experience
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
