6 of 6 Remote/Hybrid Analytical Modelling Jobs in London

systems that optimise matching, pricing, and forecasting across distributed generation and consumption. As we expand across the UK and Europe, we are adding strong analytical and modelling capability to our team. Role Overview We are hiring a Data Scientist to develop the forecasting, optimisation, and analytical models … risk, trading, and optimisation engines. You will collaborate closely with engineering, product, and commercial teams and work with a high degree of autonomy. Responsibilities Modelling and Forecasting Develop time‐series models for generation, consumption, and market price forecasting. Build probabilistic and scenario‐based forecasting capabilities. Apply machine learning ...

model Set standards for data domains ownership stewardship and controls Define data quality frameworks reference data management and issue management Ensure MDM integration into analytical and operational use cases Business Intelligence and Analytics Enablement Define enterprise BI and semantic layer architecture Set standards for KPI metric definition and reuse … across the organisation Enable advanced analytics and data science consumption from curated layers Ensure consistency usability and performance of analytical models Key Data Warehouse Building Blocks Source system classification and data contracts Ingestion and landing architecture Standardisation validation and data quality layers Master and reference data integration Analytical ...

Title: Data Analyst Location: London, Hybrid My client is looking for an experienced Data Analyst to support a cloud-based data platform, preparing and modelling trusted datasets to enable analytics, dashboards, and self-service reporting across Finance, Supply Chain, Quality, and Operations. Key Responsibilities Cleanse and harmonise data from … with Data Engineers Document business rules, data mappings, and de-duplication logic Conduct data quality checks and validation for GDPR/GMP compliance Develop analytical models and curated views for business use cases Build and maintain Power BI dashboards from certified data sources Collaborate with stakeholders to identify ...

Title: Data Analyst Location: London, Hybrid My client is looking for an experienced Data Analyst to support a cloud-based data platform, preparing and modelling trusted datasets to enable analytics, dashboards, and self-service reporting across Finance, Supply Chain, Quality, and Operations. Key Responsibilities Cleanse and harmonise data from … with Data Engineers Document business rules, data mappings, and de-duplication logic Conduct data quality checks and validation for GDPR/GMP compliance Develop analytical models and curated views for business use cases Build and maintain Power BI dashboards from certified data sources Collaborate with stakeholders to identify ...

recommend the optimal cloud platform (Azure or Google Cloud Platform) for implementing Databricks. This will involve a detailed evaluation of both platforms against analytical requirements, cost models, security, compliance, and integration considerations, culminating in a clear recommendation for senior stakeholders Role Overview You will lead a comprehensive Cloud & Data … data landscape, including CRM data in SQL Server, external datasets, geospatial sources, and BI consumption. Assess how shortlisted cloud platforms (Azure vs GCP) meet analytical requirements: large-scale data volumes (20M+ rows), mixed data types, NLP/AI workloads, geospatial analytics, and daily refresh needs. Compare Azure ...

recommend the optimal cloud platform (Azure or Google Cloud Platform) for implementing Databricks. This will involve a detailed evaluation of both platforms against analytical requirements, cost models, security, compliance, and integration considerations, culminating in a clear recommendation for senior stakeholders Role Overview You will lead a comprehensive Cloud & Data … data landscape, including CRM data in SQL Server, external datasets, geospatial sources, and BI consumption. Assess how shortlisted cloud platforms (Azure vs GCP) meet analytical requirements: large-scale data volumes (20M+ rows), mixed data types, NLP/AI workloads, geospatial analytics, and daily refresh needs. Compare Azure ...