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 the use and development of data infrastructure projects & proof of concept business solutions for users in analytics and Data Science. This person works directly with data scientists and analytic engineers on needs and tactical solutions. This role will execute new data engineering work tracks for Data Science and analytics from inception and prototyping to fully developed solutions. This role will also manage projects of medium complexity. Key responsibilities: Work closely with Data Science and business partnersrequiringsubject matterexpertisein the business as well as advanced analytics.? Participates in developing test plans and scripts, preparation of test data, reconciliation of data sources, and execution of functional tests.? Help develop and deliver the data infrastructurerequiredto support needs of predictive modeling and analytics with minimalsupervision? Collaborate with other engineers to create reliablepurpose builtsolutions, for a variety ofdifferent customers and topics. Leverage data analysis and technical fluency in parallel processing/programming, software/programming languages and technologies (i.e.Oracle, MongoDB, SQL, Python, Spark, Kafka,Scalaand Hadoop)to meet business needs Employa high degree of analytic agility to be able to meet fluid and dynamic business needs Provide support on requirement development for analytic data sources, breaking down business problems into solvable components andassistwith documenting requirements with minimalsupervision.? Execute rapid development of new data and analytic work tracks with fast iteration over quicksprints? Builds test scripts, executes testing, works with data scientists and business to ensure end useracceptance Additional Responsibilities for mid-senior level: Provide technical leadership to across-functional team to implement analytic solutions that address business challenges across a variety of businessunits Coachand inspire a team of high-performingdata engineers Participate in requirement development, breaking down business problems into solvable components andassistsin documentingrequirements??? Execute rapid development of new data and analytic work tracks with fast iteration over quicksprints?? Provide input on the development of enterprise data assets, information platforms or data spaces designed for exploring and understanding the data. Participate in supporting the data engineering environment, and execute monitoring,qualityand validation processes to ensure data accuracy.?? Execute data exploration, data engineering, testing and implementation.?? Participate in and help execute the development of new concepts, proof of concept designs, and prototypes for business or research data solutions so that business users or predictive modelers may visually understand and explore a new feature or functionality before implementation to expose design assumptions and drive ideation.?? Mentor other team members in a business technical environment and promote an environment that supports innovation and process improvement.? Participate in the development of enterprise data assets, information platforms or data spaces designed for exploring and understanding the data. Essential Skills: All applicants mustdemonstratethey have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy. Achieved a First class/Distinction or equivalentMastersdegree (?in a highly quantitative field such as mathematics,physicsor computer science?OR?? A quantitative PhD? OR 2.1 degreeclassification in relevant MSc or BSc with oneyearsrelevant experience? Additional Criteria for mid-senior level 3 years experience in a related field developing sophisticated big data pipelines?in support of machine learning and advance analytics?in industry or postgraduate experience.? Experience leading technical projects.? Desirable Skills: Distributed computing or big data frameworks such as Spark, Mesos, Hadoop, AWS,Scality, etc.? Programming in Python, R, Scala, Java, C/C++, etc.? Ability to learn new technical skills andmethods? Working with structured relational databases and writing queries (e.g.SQL), nested data structures, stream processed data, or unstructured data? Machine learning or statistics to solve real-worldproblems? Conducting data analytics and root cause analysis to answer business questions andidentifyopportunities forimprovement? Leading & managing teams of technical individuals? Previousapplicants in the last 12 months need not apply.? Supervisory Responsibilities: This job doeswillhave supervisory dutiesat seniorlevel Job Posting End Date: Monday 3rd March 2025 [11:59pm] Skills: Data Data Science Analytics