Data Scientist Consultant – Hybrid

Your role in the team

This role is responsible for leading the use of data to make decisions, including the development and execution of new machine learning predictive models. It involves shaping how Allstate engages customers by building an intelligent decisioning layer that powers personalized, data‑driven interactions across every touchpoint.

As part of Customer Engagement & Connectivity (CEC), you will work on the Next Best Action (NBA) ecosystem—designing and optimizing the decisions that guide support, engagement, and connection with millions of customers daily. This early‑career Data Scientist role is ideal for candidates who want to develop skills on high‑impact, real‑world data science problems at scale.

• Work as part of a data science team to analyze data, build insights, and support the development of predictive, analytical, and decisioning solutions.
• Use Python, Spark, and relevant data tools to clean, transform, explore, and analyze 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 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.

• 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 willingness to learn.
• First Class/Distinction or equivalent (or expected to achieve before Summer 2026) Master’s degree in a highly quantitative field such as mathematics, physics, or computer science.
• Experience working with real‑world datasets (data cleaning, feature engineering, exploratory analysis).
• Exposure to machine learning model development and evaluation.
• Familiarity with cloud platforms or distributed data tools (e.g., Azure, AWS, Spark).
• Understanding of software engineering practices (e.g., Git, testing).
• Experience communicating insights through visualisation or presentations.
• Interest in applying data science to customer or decisioning problems.

This role does not have supervisory duties.

• Artificial Intelligence Markup Language
• Business Acumen
• Business Case Analyses
• Communication
• Data Analytics
• Machine Learning Methods
• Problem Solving
• Waterfall Model

All applicants must demonstrate they have a legal right to work in the UK for employment state is not providing sponsorship for this vacancy.