Role: Data Scientist Rate: Up to £450 per day Inside IR35 Location: Guildford About the Company Our client is a leading manufacturing company, fostering change and leading technology innovation. They support major events and emergency services, employing thousands worldwide. Description Data Scientist About this role As a Data Scientist in our client's team, you will collaborate with key stakeholders to create impactful reports and dashboards to enable key business intelligence decisions. You will be part of a team working on highly sensitive and unique projects, with a strong emphasis on Data Sphere and Cloud Analytics. Responsibilities Design, develop, and maintain reports, dashboards, and visualizations. Translate business requirements into effective data models and visualizations. Integrate data from various sources into Data Warehouses using ETL processes. Transfer Data Warehouse reports into SAP Analytics Cloud (SAC). Optimize reports and dashboards for performance and usability. Test reporting solutions to ensure accuracy and reliability. Document data models, report specifications, and development processes. Collaborate with cross-functional teams to gather requirements and ensure project success. Stay updated with trends and best practices in Data Warehouse development and business intelligence. Skills & Experience Data Analysis, Modelling, & Management: Experience in developing analytical data models and ETL processes. SAP Data Tools: Proficiency in SAP Analytics Cloud and SAP DataSphere. Stakeholder & Priority Management: Ability to manage priorities and stakeholders. Protected Data: Experience with protected and sensitive data. Industry Experience: Experience with MRP and/or ERP generated data. Communication: Ability to communicate complex data insights to non-technical stakeholders. Project Management: Understanding of project management principles. Programming Languages: Strong knowledge of SQL and DAX; familiarity with VBA, PowerShell, and Python is a plus. Data Analysis & Modelling: Proficiency in data modelling, statistical analysis, and predictive modelling using tools like SSAS, Power BI, SAP Analytics Cloud, and SAP DataSphere. Data Privacy & Protection: Understanding of GDPR and data protection principles. IT Security Standards: Knowledge of security protocols and frameworks like ISO 27001. Regulatory Reporting: Proficiency in generating regulatory reports. Monitoring Tools: Experience with monitoring tools like SPLUNK, Datadog, or New Relic. Business Intelligence: Understanding of business intelligence concepts.