Company Description/ Business UnitLocation: Basingstoke or London (dynamic working)Employment Type: Permanent, full timeGrade: L7MBusiness Area/Function: Data & Analytics – Insurance (COO)Application Closing Date: Wednesday 26 th November 2025This is the jobThe AA has an enviable set of data assets and ‘Data as our new Superpower’ is a transformation journey our organisation is on with investment in progress to completely modernise our data estate and tools. As a business we are also investing in a new AI Centre of Excellence and this role will be pivotal in the enablement of AI capability.As a Data Scientist you will be part of the AA’s central Data team delivering data science algorithms and solutions for business users. Collaborating with analysts, BI developers, engineers and our AI Centre of Excellence you will develop and deploy data science capabilities that drive incremental revenue, improve customer experience, and optimise business performance.The problems you will work may be highly varied spanning areas like; forecasting, optimisation and modernisation of our roadside operation and deployment; commercial product upsell and cross-sell; churn risk and customer lifetime value; marketing segmentation and personalisation etc.Your work will support the data science and machine learning operations (ML Ops) vision and contribute to the development of scalable data products, fully deployable across a variety of systems and channels to support the AA’s customers and optimise business operations.What will I be doing?Build and deploy statistical models to support product development, demand forecasting and value driver analysis utilizing a variety of modelling and machine learning techniques where appropriateInterpret and solve high-value business problems using data mining, models, and technology-based algorithmic solutions (eg, RPA, generative AI and LLM) .Collaborate with architecture and engineering teams to design and embed algorithms that will work into AA platforms and products.Conduct analysis to uncover trends, evaluate scenarios, and assess risks.Work closely with the wider Data team to onboard and explore new sources of data relevant for work deliveryHave good knowledge of the data and business processes within the business domain you are working with, understanding the data lineage and ensuring the use of the data is appropriate and has integrityClearly communicate outputs through presentations, workshops and conversations with key stakeholdersMaintain strong relationships with stakeholders, peers and SME’sResponsible for the quality of outputs and products delivered in a timely mannerAdheres to relevant published frameworks, including architectural principles and patterns, release processes and peer reviewSupports the continuous improvement culture in the teamSupport the development of feature stores and data pipelines.Maintains professional competence and keeps up to date with major developments in the relating business area and data science techniques as part of a continuous learning cultureEnsure data integrity and relevance in all modelling and reporting activities.Maintain awareness of GDPR and data governance standards.What do I need?Capability, Knowledge, And ExperienceAdvanced analytical skills including the ability to apply a range of analytics, visualisation and data science techniquesProficiency in Python, SQL, and statistical modelling techniquesExperience with machine learning algorithms and data science toolsCan structures large ill-defined business problems into a clear and concise set of issuesGood communication skills; comfortable presenting & engaging groups of senior clientsAbility to build and maintain relationships across teams and departmentsWrites efficient and well-structured SQL and can prototype new metricsFamiliarity with Databricks, Unity Catalog, and agile delivery tools (e.g., GIT, JIRA)Proficient in Microsoft Office; including advanced ExcelUnderstanding of GDPR and data governanceExperience in operational research and business modelling is a plusEducation & QualificationsNumerate degree with large amount of content covering advanced analytics, data science and/or operational research, or highly relevant experiencePersonal CharacteristicsArticulate and persuasive communicatorCurious, proactive, and resilientStrong initiative and ability to manage competing prioritiesHighly numerate with good data interpretation and presentation skillsComfortable working under pressure and to tight deadlinesConcise and articulate when explaining to othersOpen minded in the search for ideasUses data to effectively solve problemsPro-actively shares knowledgeAdditional informationFor any further information about this position, please contact COO Talent Acquisition Manager, Harrison.Hewitt@theaa.comBy applying for this position, you acknowledge that there may be potential changes to the terms and conditions of your employment contract. This includes accepting the 25 days annual leave entitlement that this position has.