Data Scientist

A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully.Primary PurposeDevelopment of XCM’s machine learning solutionsDelivery of client machine learning models .Delivery of associated documentation and content on each project.Communicating findings to internal and external stakeholdersEnhancing the client’s ROI with XCM through data driven solutions tailored to their specific business requirements.Supporting BAU and planned analytics on client roadmaps when needed.Supporting XCM’s analysts in statistical techniques.Key ResponsibilitiesWorking closely with the lead Data Scientist and Director of Analytics to develop a suite of machine learning solutions.Involvement in the design, creation, productionising, testing, and maintenance of machine learning solutions.Developing data models to serve the needs of each client by analysing and predicting customer interactions; including but not limited to, customer sales and their purchasing behaviour, web traffic and user behaviour, email performance, and social media trends.Creation of technical and user documentation, marketing and other content associated with each project.Produce recommendations on how to develop the XCM data modelling roadmap.Confidently present analytics and recommendations both to colleagues and clients.Execute larger, complex statistical projects to produce strategic actionable recommendations.Lead the necessary actions off the back of analytical recommendations with other members of the analytic, campaign and client management team as required.Respond to ad-hoc data requests as required.Provide commitment to leadership and continuous improvement.Delivery of your agreed objectives.Management of your personal development programme.Delivery of agreed standards & discipline.Management of your quarterly appraisal process & documentation.Experience & QualitiesDegree level qualification or equivalent in a mathematical or computing discipline.2+ years’ experience writing production level python codeHighly proficient with numpy, pandas, sklearnStrong understanding of machine learning algorithms and workflowExperience scoping and developing machine learning projects such as recommender systemsExperience with containerised deployment (docker)Strong understanding of CI/CD processes and version controlProficient in SQL analysis.Fully literate in Microsoft Office package.AttributesAble to think abstractly and develop novel solutions to problems.Able to quickly learn new programming languages, mathematical concepts, and software.A desire to find the best solution to a challenge through collaborative working.Genuinely interested in data science / machine learning / AI.Strong communication skills.Ability to explain and present modelling concepts to non-technical personnel.Curious, proactive, organised, and methodical, with an attention to detail.Ambitious, enthusiastic, self-motivated, and the confidence to lead projects.