PURPOSE OF JOB To provide high quality dataanalysis for the Edinburgh Health and Social Care Partnership. This post will primarily support operational teams by interrogating operational data to provide strategic insight, drive progress and evidence achievement.You will use your skills in dataanalysis to provide a professional advice and support service for team members … colleagues and stakeholders. This will involve working with operational management to use data to improve services, reflecting the needs of colleagues, communities and stakeholders. THE WHAT - MAJOR TASKS/JOB ACTIVITIES Prepare, analyse and report high quality data, providing robust insight to support evidence-based decision making in our operational teams. Responsible for engagement with end users to … determine requirements for data, analysis, reports and products, and support the delivery of such. Analyse and interpret information, identifying trends, highlighting issues and making recommendations for improvement in order to provide strategic insight, drive progress and evidence achievement. Provide professional statistical advice on data and analytical matters. Provide detailed summaries of service performance utilising large datasets and More ❯
Central London, London, United Kingdom Hybrid / WFH Options
iDPP
Data Analytics Engineer Location: Central London - hybrid working Rate: £500.00 per day inside IR35 Duration: 12 months We are working with a leading global player in the travel industry who are seeking a Data Analytics Engineer to join their data team. This role sits at the intersection of dataanalysis and data engineeringideal for … someone who enjoys building scalable data solutions while staying close to business impact. The Role As a Data Analytics Engineer , youll design, build, and maintain reliable data pipelinesprimarily using PySpark, SQL, and Python to ensure business teams (analysts, product managers, finance, operations) have access to well-modeled, actionable data. Youll work closely with stakeholders to translate business … needs into technical solutions, ensuring data is trusted, scalable, and production-grade. Unlike pure Data Engineers, youll be closer to the business, shaping analytics-ready datasets. Unlike pure Data Analysts, youll spend more time coding, managing data infrastructure, and ensuring pipeline reliability. Who Were Looking For Data Analytics : Analysts who have strong experience building and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Job Switch Ltd
The role This interim role will provide high-level technical and project support to the Asset Information team, focusing on improving data quality, supporting reporting and enabling better insights through advanced data tools. The postholder will lead and contribute to data related projects, working with large datasets, applying data governance principles and driving continuous improvement in … asset data processes, particularly through the development and use of interactive dashboards. They will also support the delivery of key initiatives aligned to the business plan, helping to sustain BAU operations during a period of reduced team capacity. The location This role will be based at our main office in Farringdon, with the option of hybrid working. The current … typically Tuesdays and Thursdays, although this may be subject to change in the future depending on team and business needs. What you'll be doing: Lead and contribute to data-related projects that support Southern Housing's strategic objectives and improve asset data quality. Support regular reporting cycles (e.g. Decent Homes, HHSRS, ESG, SDR) by ensuring dataMore ❯
City of London, London, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
Contract Data Scientist - London - £700/pd Please note - this role will require you to be on-site in London 2-3 days per week. You must have the unrestricted right to work in the UK to be eligible for this role. Overview: We're hiring a Data Scientist for a leading organisation in London, offering a … month contract at £700/day (Inside IR35) . This hybrid role requires 2 days per week on-site and focuses on delivering advanced AI and data science solutions using cutting-edge technologies. Key Responsibilities: Design and implement machine learning models to solve complex business problems. Develop and deploy AI models using Python and Azure. Perform dataanalysis and build scalable solutions using SQL and other data science tools. Collaborate with cross-functional teams to integrate AI into enterprise systems. Required Skills: Strong experience in Machine Learning , AI Modelling , and Data Science . Proficiency in Python , SQL , and Azure . Hands-on experience with modern AI and data science technologies. Ability to work in More ❯