8 of 8 Remote/Hybrid Analytical Modelling Jobs in London

data flows, report specifications, and wireframes. Partner with the Data Engineering and BI teams to define and implement robust data pipelines, reporting solutions, and analytical models that support strategic decision-making and operational efficiency. Analyse data, including identifying sources, assessing data quality, defining lineage, and ensuring adherence to data ...

essential in defining metrics for platform health, developer productivity, and ML/AI adoption . What You Will Do: Own end-to-end analytical data modeling in BigQuery using dbt . Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks (Apache Spark, Scio, Beam, or Flink). ...

equivalent BI tools for self service reporting. Capability in Python for analysis and insight generation is highly desirable. Experience building or supporting predictive insight, analytical frameworks or models that influence decisions. Proven ability to operate across strategy and delivery, owning outcomes and engaging senior stakeholders. Strong understanding of scalable ...

with structured and unstructured data sources including: Financial statements and management information Contracts, legal documents, and data room materials Operational and customer data Build analytical dashboards, reports, and executive‐level summaries for deal teams. Collaborate with AI Engineers to: Define analytical requirements Validate model results Improve data quality … processes Transaction workflows and timelines Financial statements and deal value drivers Experience working under deal pressure and tight deadlines . Analytics/AI Strong analytical skills with experience interpreting AI/ML outputs . Hands‐on experience with data analysis tools such as: Python, SQL, Excel BI tools (Power ...

Within 6 months: You’re owning datasets and delivering end-to-end projects with stakeholders Within 12 months: You’ve significantly improved data quality, modelling standards, and self-serve adoption across our Marketing and Commercial teams. Key Responsibilities Design, build, and maintain scalable, well-tested data models using … support consistency across reporting Skills and Experience 3+ years’ experience as an Analytics Engineer, BI Engineer, or similar Strong hands-on experience with dbt (modelling, incremental models, macros, testing, documentation) Advanced SQL skills and solid understanding of analytical data modelling (Kimball, Star schema, etc.) Experience working with ...

insights and intelligence that help customers in dynamic, data intensive industries operate, scale, and innovate. You will develop robust, future ready machine learning and analytical models that enable predictive insights, automation, and data driven decision making across complex digital transformation programmes. With access to modern data platforms, high quality … with engineering, product, and analytics teams to build solutions that are accurate, explainable, and scalable. This role empowers you to shape end to end analytical ecosystems-accelerating delivery, enhancing decision quality, strengthening operational resilience, and guiding organisations toward a more insight rich, AI enabled future. Key Responsibilities Explore, clean ...

data products, giving you exposure to both real-world commercial problems and scalable internal product builds. Their focus sits heavily in customer intelligence, predictive modelling and behavioural analytics across sectors including utilities, telecoms, financial services and charities. This is a strong opportunity for someone who wants broader ownership than … focused DS role. This role will sit at the intersection of product, analytics and machine learning. You’ll help prototype, test and shape new analytical products, building models that directly influence how clients engage customers, optimise collections and improve commercial performance. Key Responsibilities • Build and optimise predictive models including ...

Broking teams to translate business requirements into technical solutions. Futureproofing – Drive the evolution of the data platform, ensuring adaptability for new data sources, analytical models, and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure … Synapse, or Azure SQL). ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Previous London Market Insurance experience Why Join? Greenfield Project – Work on an all-new data platform ...