Data Scientist Consultant II - (Hybrid)

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.

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., Business Case Analyses, Data Analytics, Data Engineering, Data Science, Predictive Analytics, Predictive Modeling, Python (Programming Language), Waterfall Model

Pulled from the full job description

• Employee assistance programme
• Private dental insurance
• Company pension
• Paid volunteer time
• Private medical insurance
• Cycle to work scheme

• Discounted gym membership, 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.

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., 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.