5 of 5 Visualisation Jobs in Farnborough

3. Technical Expertise a. Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage and processing. b. Familiarity with big data tools (e.g., Hadoop, Spark) and data visualization platforms (e.g., Tableau, Power BI). c. Experience with scripting languages (e.g., Python, R) for data manipulation and automation. 4. Project Management Skills a. Experience managing or supporting data conversion More ❯

into data workflows to enhance data processing capabilities. Utilize AI/ML models for tasks such as data classification, prediction, or extracting insights from unstructured data. Data Reporting and Visualisation: Ensure transformed data is properly indexed and made searchable within our systems. Display processed data in dashboards and reports. Qualified Data Science Consultant skilled in data integration, APIs, cloud platforms More ❯

release review. Organised and delivery-focused - able to manage multiple workstreams, prioritise effectively, and keep stakeholders updated. Confident with tools such as Jira, Confluence, Excel/Sheets, and process visualisation tools (e.g., Visio, Draw.io). Genuine interest in AI and automation technologies (as these are growing areas within the business). Comfortable, confident and articulate when communicating with clients, able More ❯

Biostatistician - RShiny Specific:Sets up and maintains excellent R-based computing environment. Adds missing features to apps and fixes bugs in existing apps. screens the market for supplied data visualization tools and integrates internal/external apps into our working environment. Organizes and performs user trainings and is available for user support on demand. Is up to date with the More ❯

Technical Project Manager, Advanced Visualization Manage the deployment and customer satisfaction of Advanced Visualization (AV) IT solutions for radiology and help medical teams to better take care of millions of patients. Your role: Coordinate and lead AV solution deployment projects within hospitals according to guidelines, achieving objectives, meeting customer expectations, and managing change adoption after deployment. From first stages of More ❯