1 to 25 of 27 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). ...

compute management, Spark job optimisation * Relational databases: PostgreSQL at production scale - query optimisation, indexing strategies, table partitioning, replication, schema design for both OLTP and analytical workloads * MongoDB - document modelling, aggregation pipelines, indexing strategy, replica sets; clear judgment on when document vs relational storage is the right architectural call … Containerisation: Docker and Kubernetes-based deployment of data workloads; reproducible, environment-agnostic data infrastructure * Data modelling for analytical workloads - dimensional modelling, data vault, or equivalent; schema evolution, slowly changing dimensions, and downstream impact analysis * Stream and batch processing patterns; late data handling, watermarking, and backfill strategies; throughput ...

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 ...

working from clean, reliable data Experiment with AI and automation tools to build smarter, faster workflows across the operations function Act as a proactive analytical partner to stakeholders across Sales, Marketing, Finance, and Customer Success - translating data into clear recommendations and helping the business move faster … objects and fields, and making the CRM work for the business Experience with BI tools (Tableau, Power BI, Looker, or similar) Strong financial and analytical modelling skills - you build models in Excel or Google Sheets that are accurate, sustainable, and easy to understand Exceptional communicator - you write ...

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 ...

provide specialist advice and guidance on data, analysis and measurement within a wide range of domains, with a focus on demand and capacity modelling, and productivity and efficiency analysis and reporting, developing operational and performance management reporting, indicators and dashboards to support effective decision making, business planning, service delivery … improvement. Main duties of the job The post holder will have the skills and experience to provide in-depth analysis, forecasting and modelling by analysing highly complex, multi stranded data, they will have advanced SQL, Excel, python/R and a high level of wider technical skills with ...

ability to work in a fast-paced, high-demand work environment. Excellent communication and strong interpersonal skills are required . Strong administrative, organizational, analytical and technical skills and focused attention to detail. Experience with Microsoft PowerPoint, Excel, ADO, and Wiki and data visualization tools . Ability to multi-task … industry - standard and cutting-edge technologies . Gain k nowledge of agile & traditional project/program management, data engineering, business intelligence, analytical modeling , and the energy & commodities marketplace . Establish and cultivate relationships with team members to foster collaboration and open communication, contributing to a positive team environment. ...

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 ...

Type: Permanent Role Description We’re looking for an Analytics Engineer to play a critical role in enabling data access, platform operations, and analytical data modelling across Live Nation's international data ecosystem. You will work with rich datasets and manage data workflows in large-scale data environments … Engineering, analysts, and business stakeholders, you will drive data migration, integration, and platform improvements, while contributing to the delivery of high-quality dashboards and analytical outputs. What we can offer you Live Nation offers impressive employee benefits including tickets to shows and festivals and unlimited annual leave. The Farmiloe ...

etc.) Design reliable ingestion processes from APIs, databases, and file-based sources Apply best-practice pipeline design patterns for resilience and re-runnability Data Modelling & Analytics Enablement Design analytical data models that are performant, maintainable, and business-friendly Apply dimensional modelling techniques for BI and reporting … joins, optimisation) Hands-on Python for data processing and pipeline development Experience with Microsoft Fabric and Power BI (datasets, semantic models) Understanding of data modelling for analytics and reporting Familiarity with CI/CD, testing, version control, and data quality practices Exposure to data mesh/domain-oriented data ...

monitoring. Key Responsibilities Machine Learning Development • Develop, train, and optimise machine learning models for production applications • Work with large datasets to build predictive and analytical models • Collaborate with data scientists to transition models from research to scalable production systems ML Engineering and Deployment • Design and maintain machine learning pipelines … engineering, and model optimisation • Understanding of MLOps practices, model deployment, and monitoring • Experience working with cloud platforms such as AWS, GCP, or Azure • Strong analytical thinking and problem-solving skills Experience Required • 3–5 years’ experience in Machine Learning Engineering, Data Science, or AI development • Experience deploying machine learning ...

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 ...

customer relationships. The Role Own and continuously improve lifetime value (LTV) and core revenue metrics across multiple products and customer journeys. Enhance and maintain analytical data models, ensuring reliability, performance and scalability as products and revenue streams evolve. Take ownership of key marketing and revenue dashboards, ensuring stakeholders … trust and act on the insights. Support experimentation and A/B testing, providing analytical input for strategic, non BAU initiatives. Partner with stakeholders across marketing, product and strategy to interpret performance, explain drivers and guide decision making. Contribute to strategic insight projects including customer segmentation, contact base analysis ...

making. You will shape how stock moves, how warehouses operate, and how the supply chain evolves as the business scales internationally. If you enjoy analytical freedom, hands-on problem solving and real commercial impact, this is an opportunity to step into a core role at a pivotal time. … Conduct cost analysis across postage, shipping and fulfilment methods. * Design, run and evaluate A/B tests and experiments across supply chain processes. * Build analytical models and reporting using SQL, Python and Tableau or similar BI tools. * Mentor at least one analyst and guide them through transformation-focused projects. ...

Applied sophisticated presentation and visualization software to effectively communicate analysis/results to key collaborators Partner with the broader Finance organization to build robust analytical models, tools, and processes, and provide superior service to business partners/internal clients Cross collaborates with the team, learning other parts … formulas Experienced in Power BI, including DAX formulas Strong experience in SQL (or similar BI Tool) Skills in Python would be highly desirable Strong analytical and complex Financial Modeling skills, with experience working with complex financial data to produce analysis, including trend, forecast, and critical metric analysis, generating insights ...

Following a recent change in ownership, the business is undergoing a significant transformation programme — bringing finance processes in-house and building out its reporting, analytical and modelling capabilities to better drive business performance. This is a unique chance to play a central role in shaping … cost base, including the introduction of an agile rolling forecast process Development of driver-based forecasting Support business planning by providing financial analysis and modelling Support wider strategic planning, budgeting and forecasting processes Other Contribute to ad hoc financial projects and requests as part of the overall finance function ...

pipeline improvements * Ensure systems are maintainable for future hires * Provide a clear, pragmatic path from pilot to production You will also contribute to ongoing analytical work (risk modelling, anomaly detection), but the primary focus is on ML system structure and scalability . Technical Environment * High-volume ETL/ ...

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 ...

their direct teams Lead data valuation and data strategy engagements end-to-end, with accountability for quality and commercial outcomes Build and present the analytical and financial cases that move senior decision-makers to act Identify, shape, and convert new opportunities — this is a commercial as well … will include: End-to-end engagement ownership with commercial accountability — P&L, scope, and quality Direct C-suite or board-level client relationships Strong analytical and financial modelling capability — comfortable translating complex data or operational problems into financial terms Clear, compelling communication at executive level — written and verbal ...

turn analysis into action What we're looking for · Experience in lending, fintech, banking or credit risk · Advanced Python and SQL skills · Strong analytical and statistical modelling skills · High ownership and attention to detail · Experience with underwriting, scorecards, pricing or portfolio analytics · Experience working with real-world datasets ...

Markets, and Private Markets portfolio monitoring. Role We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This is a strategy-led and hands-on applied data science … engineering role, responsible for defining the AI/ML roadmap for Enterprise Solutions while also building high-rigor analytical and predictive models for anomaly detection, variance analysis, drift detection, market and behavioral signals, forecasting, and prediction. The expectation is production-grade models, comparable in rigor to fraud, risk ...

Role Lead the measurement strategy for paid marketing, shaping the roadmap across attribution, incrementality, ROI and customer lifetime value Develop and productionise advanced analytical models in Python to evaluate marketing effectiveness Design and run experiments to understand the impact of targeting, creative and channel mix Partner closely with senior … consistent measurement approaches Your Skills & Experience Strong commercial experience in marketing analytics within a digital or mobile first environment Proven capability in attribution modelling, incrementality testing and customer lifetime value modelling Advanced Python skills with experience productionising models using modern data tooling Strong SQL capability and confidence working ...

pricing decisions. Build and refine the underwriting scorecard, working out the right weightings and using expert judgement backed by data. Develop predictive and analytical models to identify the leading indicators of default and credit performance. Analyse historic customer data and uncover the signals that predict repayment behaviour. Back test … data independently (Python, SQL, BigQuery). Excellent with Power BI or similar for dashboarding and storytelling. Experience building predictive models from scratch Someone curious, analytical, and genuinely passionate about digging into data to solve business problems. STEM degree ...