7 of 7 Permanent Analytical Modelling Jobs in London

churn and customer behaviour models into live decision-making systems. Enabling next-best-action and recommendation engines for commercial teams. Supporting geospatial and advanced analytical models with robust ML infrastructure. What We’re Looking For 2+ years’ experience building and deploying production machine learning systems. A strong academic background ...

churn and customer behaviour models into live decision-making systems. Enabling next-best-action and recommendation engines for commercial teams. Supporting geospatial and advanced analytical models with robust ML infrastructure. What We're Looking For 2+ years' experience building and deploying production machine learning systems. A strong academic background ...

languages and tools (e.g. scripting languages) to develop and manage robust data pipelines connecting various systems Develop datasets and processes that facilitate data modelling, mining and production Provide clean, usable data to data community and recommend ways to improve data reliability, efficiency and quality Research opportunities for data acquisition … uses for existing data Provide analytical and modelling support when required Work collaboratively with the Data Science, Data Architecture, and other IT delivery teams to design, construct, install, test and maintain highly scalable data management systems. What do you need to thrive? Bachelor’s degree in Information Technology ...

using data to understand behaviour, identify opportunities, and guide strategic decisions across marketing, product, and personalising customer experience. Key Responsibilities Translate business challenges into analytical questions and deliver data-led insights that drive customer growth and retention. Analyse customer behaviour, lifecycle patterns, and engagement to uncover opportunities for product … marketing optimisation. Develop and maintain advanced analytical models to forecast customer outcomes and measure impact. Present clear, data-driven recommendations to senior stakeholders, influencing strategy and decision-making. Work closely with Data Engineering and BI teams to ensure data quality, accessibility, and scalability across the organisation. What ...

person team, this role will have a tangible impact on how organisations plan, allocate, and utilise their workforce more effectively. You’ll apply your analytical and modelling expertise to large volumes of operational data, helping to improve how labour is forecast, scheduled, and optimised. The role involves developing … challenges into practical, deployable solutions. Requirements: At least three years of experience building and deploying machine learning solutions into real-world environments A strong analytical foundation demonstrated through academic study or professional experience Confident using Python and standard machine learning libraries and frameworks A solid understanding of core ...

Protobuf . Manage schema evolution through Schema Registry , including: Compatibility rules Versioning strategies Backward and forward compatibility Align domain events with Kafka topics and analytical storage models. Migration & Modernization Assess existing “as-is” ingestion mechanisms (APIs, files, SWIFT feeds, Kafka, relational stores). Design and execute migration waves , cutover … Logical data modeling (ER diagrams, normalization up to 3NF/BCNF) Physical data modeling: Partitioning strategies Indexing SCD types Strong understanding of: Transactional vs analytical schemas Star schema, Data Vault, and 3NF trade-offs Practical experience with: CQRS and event sourcing Event-driven architecture Domain-driven design (bounded contexts ...

Role Overview We are seeking an experienced SAP Datasphere Consultant with a strong background in HR processes and data modelling , specifically with SuccessFactors integration . The ideal candidate will design, implement, and optimize HR data models in SAP Datasphere, ensuring seamless integration with SAP SuccessFactors and other enterprise systems … advanced analytics and planning. Technical Skills SAP Datasphere Expertise Spaces, Connections, Data Flows, Views, Analytical Models. Semantic modelling and business layer design. HR Domain Knowledge Deep understanding of HR processes: Recruitment, Onboarding, Payroll, Performance, Compensation. Familiarity with HR KPIs and metrics . SuccessFactors Integration Hands-on experience with ...