16 of 16 Remote/Hybrid Analytical Modelling Jobs in the UK

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 ...

major financial institutions. With programmes running across the UK and Europe, they are expanding their team to support large-scale data science and modelling initiatives. They are looking for a Software Engineer specialising in Analytics & Insights to design and build enterprise analytics products. The role focuses on developing high … quality datasets, dashboards and analytical tools that help business stakeholders make better decisions using data. Key Responsibilities Design and build analytics datasets and semantic layers for enterprise reporting Develop dashboards and analytical products used by business stakeholders Translate business questions into measurable metrics, dashboards and insights Design reusable ...

data is accessible, trusted, and used effectively to support operational and strategic decision-making. This is a hands-on role combining data engineering with analytical delivery, reporting to the Global IT Manager, with a clear opportunity over time to take on greater technical ownership and help shape the direction … support scalable data solutions across ingestion, transformation, and presentation layers Strong SQL skills, including developing, optimising, and troubleshooting queries to support data transformation and analytical models Understanding of medallion architecture and modern data engineering best practices, including data pipeline design, version control, testing approaches, and performance optimisation techniques Confident ...

data is captured, analysed and used to drive performance across industrial sites. This is a structured 24-month graduate programme designed to build strong analytical capability across the full asset lifecycle. You’ll work with large, real-world datasets to support operational decision-making, improve efficiency and help optimise … maintenance of a high-quality data ecosystem across energy assets Collecting, cleansing and validating large datasets to ensure accuracy and usability Building dashboards, analytical models and reports to monitor performance Conducting trend analysis and generating early insights to support operational decisions Assisting with performance investigations and identifying root causes ...

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 Scientist to focus on analysing, validating, and refining data outputs across the platform. You will play a key role in ensuring that analytical models, signals, and outputs are accurate, reliable, and meaningful, supporting the overall integrity of the platform. This role combines data science, analytical thinking … quality assurance. Key Responsibilities: Analyse and interpret data from multiple sources; develop and refine analytical models and scoring approaches; validate outputs to ensure accuracy, consistency, and reliability; identify anomalies, inconsistencies, and areas for improvement; support the development of metrics and reporting frameworks; collaborate with engineering teams to improve data ...

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 ...

into scalable, real-world solutions that make a genuine impact. As an Engineering Analyst/Data Scientist you will be doing: Developing and implementing analytical models to monitor structural health, performance, and loads Analysing large datasets from sensors, simulations, and operational logs to uncover valuable engineering insights Translating core … engineering principles into data-driven algorithms and analytical tools Collaborating with product, analytics, and software teams to ensure seamless platform integration Training and validating models using both experimental and real-world operational data Contributing to technical documentation, system monitoring, and client-facing reports and visualisations What you'll need ...

will report to the Programme Manager for Experian Marketing Services. Own & prioritise the backlog for one or more data products, including curated datasets, analytical models, data services, and internal data platforms. Partner closely with stakeholders across data engineering, analytics, architecture, governance, and business domains to translate business outcomes into … complex data concepts into clear requirements, delivery plans, and consumable documentation for technical & non-technical partners. Experience with data product management principles, including data modelling, metadata management, data quality, and lifecycle governance. Experience with data governance, privacy, and regulatory obligations relevant to enterprise data use. Strong partner management skills ...

optimise Power BI semantic models Develop high-quality Power BI reports and dashboards, including advanced DAX measures and calculations Apply best practices across data modelling, performance optimisation and governance Support analytics users and troubleshoot issues across deployed insight products Contribute to ongoing improvements in analytics standards, processes and methodologies … Skills and Experience Strong, hands-on experience with Power BI (data ingestion, modelling, DAX) Solid understanding of data modelling, star schema design and semantic layer principles Proven ability to create scalable, efficient analytical models and performance reports Excellent communication skills with the ability to translate user requirements ...

data into meaningful stories that support and influence non-finance stakeholders, particularly across Sales, Marketing, and Customer Success. The ideal candidate will have: Strong analytical and modelling skills, with the ability to interpret trends and explain the 'story behind the numbers' The confidence to present to senior leadership ...