101 to 118 of 118 Analytical Modelling Jobs in London

readiness to take it on. Experience decomposing a monolith into services, or defining service boundaries in a distributed system. Exposure to data warehousing or analytical data modelling alongside transactional systems. Experience designing API-first architectures, webhook integrations or third party platform integrations. Familiarity with observability and SRE practice ...

fantastic opportunity to join a major organisation undergoing a significant Azure Data Lakehouse transformation. You'll take ownership of enterprise-wide data modelling and architecture, helping the business evolve from traditional reporting towards advanced analytics and data-driven decision making. THE COMPANY: This well-established UK professional services organisation … Designing and governing enterprise-wide data models across Bronze, Silver and Gold layers within a Medallion Architecture. Creating scalable curated data models using dimensional modelling and Kimball methodologies. Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform. Managing logical ...

models, enabling self-service reporting, and delivering trusted datasets that support strategic business decision-making across the organisation. Key Responsibilities Design and develop scalable analytical data models and reporting datasets. Translate business requirements into robust, analytics-ready solutions. Build and optimise SQL-based transformations within cloud data platforms. Develop … analytics capabilities across the business. Required Experience Proven experience in an Analytics Engineer, Data Modeller or similar role. Strong SQL skills with experience building analytical data models. Experience working with cloud data platforms such as GCP/BigQuery. Strong understanding of dimensional modelling, star schemas and data warehousing ...

into predictive, prescriptive insights — enabling teams to act on what the product is telling us, not just what gets reported. You will own the analytical models and frameworks that connect product behavior to business outcomes across acquisition, activation, adoption, expansion, and renewal. Key Responsibilities Partner with Product to define … years in data science or advanced analytics — ideally in a hybrid PLG/sales-led SaaS environment Strong Python and SQL; experience with data modelling and pipeline tools (dbt, Airflow, Dagster) Deep expertise in predictive modelling, causal inference, survival analysis, and experimentation (A/B, diff-in-diff ...

Some weeks may be one day) You 'll be working on some really interesting initiatives and have the below responsibilities Lead the delivery of analytical and machine learning workstreams, ensuring models and outputs are robust, repeatable, and aligned with business needs. Collaborate with subject matter experts, architects, and product … teams to ensure analytical outputs are technically sound and ready for operational use. Uphold best practices in coding, documentation, reproducibility, version control, and model assurance. Occasionally mentoring more junior peers They're pretty cloud agnostic, Azure would be great though. Looking for the below skill set: Strong experience delivering ...

enjoy owning processes end-to-end, building scalable systems and tooling, and are detail-oriented about data quality and hygiene You’re an analytical, strategic thinker who has the ability to simplify and communicate even the most complex problems You collaborate seamlessly across functions and cultures, excelling at influencing … with a mix of top-tier strategy consulting and/or high-growth startups, with meaningful time focused on commercial strategy/ops Strong analytical skills, including data modelling and working with data reporting tools An outstanding record of academic achievement Excellent written and verbal communication and presentation ...

working with an early‐stage technology company building a data‐intensive B2B SaaS product for enterprise customers. The platform combines large‐scale data pipelines, analytical and modelling capabilities, and a modern web application. The engineering team is small, highly technical and moving quickly as the product scales. … Snowflake or equivalent cloud data warehouse experience. Experience with complex operational or event‐based data. Process mining, simulation or Operations Research experience. Experience building analytical or data‐intensive B2B products. Experience working with production AI/LLM features. #J-18808-Ljbffr ...

someone watching them, catching drift, and surfacing problems before they hit operations. As Lead Data Analyst for the Network squad, you will own the analytical oversight across Relay's forecasting systems. That means tracking model performance across demand forecasting, shift planning, dimensions, and BPP inclusion. When a model starts … role. The Network squad's Data Scientists build and ship the forecasting models. Your job is to ensure those models keep working, to set analytical standards for the squad, and to be the first line of defence when something breaks. You will work closely with Sortation, Middle Mile, Last ...

lldo AsaAI Engineering Lead,you'lllead the design, build, and deployment of ML models and AI systems into production environments.You'lltranslate decision strategies and analytical requirements into production-grade solutions, designing reusable pipelines and frameworks that support efficient delivery while ensuring reliable, high-quality outcomes that advance the Economic … deploying production-grade AI andMLsolutions,supported bya strong understanding of ML engineering,Machine Learning Operations(MLOps), and model lifecyclemanagement.You’llbring the technicalexpertiseto translate analytical models and decision strategies into robust, operational systems that deliver business value within regulated environments. To succeed in this role, youmustalsohave aproventrack recordof developing ...

proof-of-value materials using approved enterprise tools, and coordinate with technology owners before any broader deployment or production use. Develop business-owned templates, analytical models, trackers, prompt libraries, reporting concepts, and workflow improvement ideas that improve Finance speed, consistency, and transparency. Apply practical product-style ways of working … concepts, and data visualization. Strong Finance data literacy, including working with structured data, defining business requirements, spotting quality issues, and translating business questions into analytical outputs. Who we are As the third largest data center provider, we operate over 150 data centers in more than 20 countries and regions. ...

will bridge business stakeholders and technology teams to deliver high-quality requirements. Required: minimum 5 years as a BA, 3+ years in insurance, strong analytical, communicatio n, data modelling skills, and experience with Agile, Scrum #J-18808-Ljbffr ...

trading games and project work. Through this work, graduates gain exposure to all phases of the work of quantitative researchers including problem conceptualisation, modelling, strategy back‐testing and iteration, implementation, and monitoring. Overview At Susquehanna, quantitative researchers drive innovation from the centre of our trading floor. Leveraging expertise … looking for Research‐minded: You enjoy diving deep into a question and building mathematical models to reveal patterns in vast amounts of data. Analytical & detail‐oriented: You approach problems with a curious and analytical mindset – building models, interpreting data, and uncovering insights with precision. Clear communicator: You enjoy ...

generate and interpret them for design decisions. Experience synthesising flight logs/telemetry/test data and using it to validate and improve analytical models (model calibration, correlation to test). Strong scripting and analysis skills in Python (or similar) for automation, data processing and building/using design … methods and tools. Ability to work collaboratively across a small, multidisciplinary engineering team. Structural analysis, FEA, airframe structural sizing. Stability & control analysis, flight dynamics modelling, and handling-qualities assessment. Design-of-experiments for sub systems. Propulsion sizing and integration of electric, hybrid-electric or gas turbine systems. Experience with ...

including investment prioritisation, roadmap decisions, resource planning and cost-benefit analysis . Provide finance support across transformation initiatives, including business cases, benefit tracking, cost modelling and scenario analysis . Own and improve monthly performance reporting for Product and Technology, highlighting financial performance, risks, opportunities and key cost drivers . … within a large, complex organisation. Essential: Qualified accountant or equivalent level of commercial finance experience. Strong experience across budgeting, forecasting, management reporting and financial modelling . Experience working within a large organisation , ideally with 5,000+ employees. Proven experience partnering with and influencing senior stakeholders . Strong commercial judgement ...

origination of fixed revenue agreements that underpin investor returns. The Role This is a senior leadership hire that will materially expand Field's analytical and risk modelling capability. The Senior Quantitative Manager will lead the Quantitative Analysis function, line managing the existing Quant Manager, and driving the build … risk management and product origination arm of the business. The Senior Quantitative Manager will set the methodology, own the model architecture, and provide the analytical foundation for product structuring, origination pricing, and market risk management across Field's portfolio of owned and third-party assets. This is a role ...

deployment. This role requires strong past experience with C++ or C# or Java programming, as it involves development of interfaces to the core C++ analytical library where the models are implemented. Model validation, including testing the model at its fundamental level and pricing real-world trades to ensure that … core part of this role. My client is based in London Quant, Pricing Derivatives, Consultancy C++ Quant Analyst Investment Bank, Hedge Fund Modelling ...

deployment. This role requires strong past experience with C++ or C# or Java programming, as it involves development of interfaces to the core C++ analytical library where the models are implemented. Model validation, including testing the model at its fundamental level and pricing real-world trades to ensure that … core part of this role. My client is based in London Quant, Pricing Derivatives, Consultancy C++ Quant Analyst Investment Bank, Hedge Fund Modelling ...

statistical techniques to identify trends and opportunities. You'll work closely with analysts, developers and other technical specialists to contribute to the development of analytical models and data-driven solutions within a fast-paced environment. #J-18808-Ljbffr ...