At Allstate, great things happen when our people work together to protect families and their belongings from lifes 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 Data, Discovery, and Decision Science (D3) is the research and analytics D3, youll be surrounded by 360+ tenacious and intellectually curious colleagues in an inclusive culture that encourages you to take risks, challenge the status quo and shape the future for the greater good. We are solving some of todays most complicated analytics problems, making the lives of our Allstate colleagues easier and more productive, and driving our mission to deliver targeted insurance solutions to our customers.? We are partnering to incorporate analytics into every aspect of the enterprise. We are avid about learning new ways to get the most value from our massive data resources and leading-edge technology. We are committed to building an inclusive and diverse team where everyone has an equal opportunity to succeed. We strive to hire people from different backgrounds so that we can better serve our diverse customer needs.? This role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our business decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. This role will also manage projects of medium complexity. Key responsibilities: Uses best practices to develop statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions? Reviews, evaluates and communicates appropriateness of modeling techniques and results to team, leadership and stakeholders to ensure these are well understood and incorporated into business processes. With coaching, develops and executes communication strategy, keeping stakeholders informed and finding opportunities to influence the direction of work.? Collaborates with the team and works on data and business problems in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Understands the business problems to identify the optimal modeling approach.? Identifies languages and tools that can bring efficiencies or needed techniques to the team? Utilizes effective project planning techniques to break down moderately complex machine learning/predictive modeling and/or development projects into tasks and ensure deadlines are kept? 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. 3+ years experience in a related field working with data science techniques such as GBMs, ensemble forests, GLMs, deep learning or graph mining in industry or postgraduate experience. Experience leading technical projects. Desirable Skills: Proven experience leading & managing analytical or data science-based projects Proven experience implementing data science solutions into production systems Proven experience leading & managing teams of technical individuals 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). Previous applicants in the last 12 months need not apply. Supervisory Responsibilities: There are supervisory responsibilities in this role. Job posting end date: Friday 23rd May 2025 [11.59pm]
