2 of 2 Remote Data Lake Jobs in Guernsey

Data Scientist Initial 6-month contract 475 to 500 per day Outside IR35 Remote Working (+ occasional site visits) The Opportunity ISR are supporting a major UK Government Agency seeking an experienced Data Scientist to help shape and expand their data and analytics capabilities. Youll play a key role in designing and delivering advanced … data models, integrating new sources of information and applying modern AI and machine learning techniques to solve real-world challenges. This role is ideal for someone who thrives at the intersection of data science, analytics, and public sector transformation, helping to deliver better outcomes for the general public through data-driven insights. NB: Candidates … understanding of statistical modelling and machine learning. Experience with Azure Machine Learning (AML), Azure Data Factory, and the broader Azure data ecosystem (Data Lake, Synapse, Analysis Services). Expertise in Natural Language Processing, clustering algorithms, text embeddings, LangChain and LLM deployment. Strong knowledge of data visualisation tools such as Power BI More ❯

An established health and wellbeing organisation is expanding its data function and seeking a hands-on Data Engineer to help develop and maintain robust data infrastructure. Youll work on a wide range of projects supporting analytics, reporting and client delivery. Key responsibilities Design, build and maintain reliable data pipelines and integrations across … multiple systems. Develop and optimise data models to support reporting, dashboards and KPIs. Build and maintain Power BI dashboards and automated data flows. Collaborate with product, engineering and business teams to deliver high-quality, usable data. Support the development of a centralised data warehouse and data lake. Uphold data quality … governance and documentation standards. Tech environment SQL Server, Azure Data Platform, Power BI, Azure Fabric, Cosmos DB, APIs, and third-party integrations. Profile Strong SQL and data modelling experience. Proven background in data engineering within Microsoft-based environments. Comfortable interpreting and transforming large, complex data sets. Clear communicator who can explain data More ❯