8 of 8 Permanent Analytical Modelling Jobs in the City of London

popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets. Key Responsibilities: Building and scaling data pipelines, analytical infrastructure, and dashboard solutions that power customer success insights across multiple international markets. responsible for engineering high-quality data foundations, enabling automated analytics workflows … dive analyses and root-cause investigations to identify patterns, trends, and optimization opportunities across global support operations. Use SQL, Python, or R to build analytical scripts, support experimentation frameworks, and perform ad-hoc statistical analyses. Partner with Data Science teams to productionize analytical models or pipelines supporting ...

managing AI/ML solutions on the Microsoft Azure platform. You will work closely with data scientists, researchers, and product managers to translate complex analytical models into production-ready, scalable applications. Your expertise in Azure AI services, MLOps, and data engineering will be crucial in delivering high-impact ...

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 ...

script; you're helping make it better. Must have — strong practical experience in most of: Python for data workflows and automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus ...

senior stakeholders to identify opportunities for data-driven improvement in customer engagement, retention, and product experience. Oversee the design, development, and delivery of advanced analytical models and insights that support business growth. Translate complex data into clear, actionable recommendations that drive commercial impact. Collaborate closely with BI and Data … Engineering teams to ensure reliable data foundations and scalable analytical solutions. Champion the use of data science across the organisation, embedding a culture of evidence-based decision-making. What We’re Looking For Strong grounding in statistics, mathematics, and applied data science. Proven experience leading analytics or data science ...

Fabric Dataflows, Pipelines, Lakehouse tables, and Warehouse objects to support enterprise analytics and downstream applications. Collaborate with Data Analysts, Power Platform Developers, and data modelling teams to ensure well-prepared Silver datasets reliably support the Gold layer used for reporting and AI or automation scenarios. Work closely with internal … skills for ETL or ELT processes, API integration, data manipulation, and data quality enforcement. SQL proficiency with experience in schema design, performance tuning, and analytical data modelling. Proven experience integrating complex datasets from APIs, SFTP transfers, on-premise databases, and cloud data stores. Ability to collaborate closely with business ...

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 ...

least one prior internship in finance — ideally investment banking, strategy consulting, or buy-side investing • MBA graduates are also encouraged to apply • Strong analytical, financial modelling, and problem-solving skills • Excellent attention to detail and ability to work under tight deadlines • Fluent in English; Italian or another European ...