Data Scientist Consultant - Hybrid

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.

This role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive Join us in shaping how Allstate shows up for customers—building the intelligent decisioning layer that powers personalised, data-driven engagement across every touchpoint.

As part of Customer Engagement & Connectivity (CEC), you will work on the Next Best Action (NBA) ecosystem—designing andoptimisingthe decisions that guide how we support, engage, and connect with millions of customers every day.

This is an early‑career Data Scientist role, ideal for candidates who are looking to develop their skills while working on high‑impact, real‑world data science and decisioning problems at scale.

You’ll work alongside a team of passionate, curious, and collaborative professionals tackling complex, real‑world challenges. Together, we are building the systems that power intelligent customer engagement—bringing together data, insights, and advanced analytics to ensure the right action is taken for every customer, at the right time.

Our work sits at the forefront of Allstate’s transformation—helping deliver simpler, more connected, and morepersonalisedexperiences. We partner closely across business, technology, and product teams to embed data and decisioning into every aspect of customer engagement.

We are committed to fostering an inclusive and diverse environment where new ideas are encouraged, different perspectives are valued, and everyone has the opportunity to grow and make an impact.

• Work as part of a data science team to analyse data, build insight, and support the development of predictive, analytical, and decisioning solutions.
• Use Python, Spark, and relevant data tools to clean, transform, explore, and analyse datasets.
• Support the development, testing, and validation of machine learning models, business metrics, dashboards, and decisioning logic.
• Apply foundational statistical and machine learning techniques to help solve business problems and improve data‑driven decision‑making.
• Work with business and technical colleagues to understand requirements, clarify assumptions, and translate problems into analytical tasks.
• Communicate analysis, methods, and results clearly through written summaries, visualisations, presentations, and documentation.
• Help validate data, model outputs, metrics, and reports to ensure results are accurate, reliable, and explainable.
• Contribute to scalable and repeatable data science processes, including data preparation, workflow automation, monitoring, and well‑documented code.
• Learn and apply good practice in coding standards, version control, testing, data governance, security, and responsible AI.
• Manage assigned work effectively by breaking tasks into clear steps, tracking progress, raising blockers early, and incorporating feedback.
• Actively participate in team discussions, code reviews, demos, retrospectives, and knowledge‑sharing activities.

• All applicants must demonstrate they have a legal right to work in the UK for employment state is not providing sponsorship for this vacancy.
• Achieved a First Class Bachelor’s degree in a highly quantitative field such as mathematics, physics or computer science with at least one year of experience in a related field, or 2:1 degree classification or higher and at least two years of experience in a related field.
• Experience with at least one programming language (e.g. Python, R, or similar)
• Understanding of basic statistical and machine learning concepts
• Strong problem‑solving skills and ability to work with data
• Good communication skills and ability to explain technical concepts clearly
• Demonstrated curiosity and…