26 to 50 of 444 Analytics Jobs in the City of London

development and integration. Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) is a plus. Interest in RPA (Robotic Process Automation), data analytics, or low-code/no-code tools a bonus. Soft Skills: Creative problem-solver with a passion for finding “out-of-the-box” solutions. Strong analytical ...

agentic workflow components. Design, build, integrate, deploy, and operate production AI/ML and LLM-based services for legal research, analytics, and content use cases. Implement RAG, semantic search, embeddings-based retrieval, ranking, summarisation, classification, content enrichment, and citation-aware AI capabilities where appropriate. Design and implement agentic workflows, tool ...

Energy Analytics Engineer Salary: Up to £40,000 per annum, depending on experience, plus annual bonus and other Veolia benefits. Location: Hybrid - London, Kingscross N1 9JY Hours: Full-time (40 hours per week, Monday - Friday) When you see the world as we do, you see the chance to help … meet their requirements Troubleshoot and resolve data-related issues promptly. Provide training and support to non-technical users to maximise the utilisation of analytics tools. Support with driving solutions to help Veolia with our purpose of ecological transformation Drive and support the roll out and delivery of our carbon reporting ...

within a hybrid office setup at One New Change, London. You will apply PySpark, Python, SQL, and Kimball modelling to support BI, ML, and analytics while following DevOps practices and data governance standards. Strong collaboration and communication are essential. #J-18808-Ljbffr ...

days onsite and 1 day remote, and a salary range of £70-80,000 (doe). The successful candidate will shape data infrastructure and analytics capabilities, enabling informed decision-making and operational efficiency within a well‐regarded insurer. Requires strong SQL/Python, Azure, and Power BI experience, and insurance ...

business insights. The position is rich in opportunity for involvement with the company’s biggest deals, signings, and international projects.- Work with the Global Analytics team to provide insights on key tracking initiatives.You will have a minimum of 3 years of related work experience in the music or media industries.Excellent ...

they're looking for The ideal candidate will have: Proven experience leading complex, multi-workstream Data or AI programmes. Experience taking AI or advanced analytics solutions into production. Strong Financial Services experience across banking, insurance or capital markets. Technical credibility across data engineering, data platforms, ML or Generative AI. Experience ...

using machine learning, generative AI, and cloud technologies. What you'll do Lead the end-to-end delivery of AI, machine learning, and advanced analytics solutions from concept through production. Provide technical leadership across multiple AI initiatives, ensuring high standards for architecture, engineering, scalability, and deployment. Design and build ...

most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache Spark. Data acquisition and fusion approaches. Cloud platforms (ideally AWS) and cloud ...

This is a hands-on, high-ownership role where you'll define the data architecture, set engineering standards and build systems that power product analytics and modern AI capabilities. Start-up or Scale-up experience required coupled with a computing degree from a Russell Group university. What ...

architect who thrives in complex transformation environments and understands how to connect AI capability with business value. Essential experience: 10+ years' experience in data, analytics, AI, or enterprise architecture Strong consulting background delivering technology and AI transformation programmes Deep understanding of AI, machine learning, GenAI, and cloud data platforms Experience ...

architect who thrives in complex transformation environments and understands how to connect AI capability with business value. Essential experience: 10+ years' experience in data, analytics, AI, or enterprise architecture Strong consulting background delivering technology and AI transformation programmes Deep understanding of AI, machine learning, GenAI, and cloud data platforms Experience ...

maximise the value of data by transforming information into actionable insights, innovative products, and AI-driven solutions. Our multidisciplinary team spans Data Analytics, Data Engineering, Data Governance & Management, and AI, working together to ensure data is trusted, accessible, and used effectively to drive better decisions, improve business performance, and unlock ...

SaaS solutions to the defence sector. Deep understanding of the defence industry landscape, procurement processes, and acquisition programmes. Extensive knowledge of AI technology, data analytics, and their applications within the defense sector. Demonstrated experience in building and nurturing relationships with senior-level decision-makers and influencers within defence organisations. Degree ...

Consulting: We specialise in finding highly qualified staff in the following areas: Legal and LegalTech (E-Discovery, Digital Forensics, EDRM) Big Data and Data Analytics - (MI/BI/CI) InfoSec and Cyber Crime Audit Accountancy and Finance FinTech (Payments etc.) Fraud - (AML/CTF, Investigation, CFE’s etc.) Risk ...

looking for qualified individuals to support this initiative. Our analysts work directly with Clinical Operation teams to identify needs and establish solutions spanning data analytics, visualization, and accessibility. Analysts will be trained to evaluate study protocols and work collaboratively with Clinical Trial Managers to develop and validate data products that ...

markets.Innovate on new product and technology capabilities for enhancing experience, improving efficiency and optimising operational cost.Conduct analysis on user insights, industry trends, and data analytics to optimize the user experience.Enable business initiatives and support decision-making by balancing user-centric design with machine learning and AI capabilities.Facilitate workshops and working ...

continuous improvement projects. Proficiency in project governance, risk management, and budget control. Familiarity with project management methodologies (e.g., PRINCE2, PMP, Agile). Data & Analytics Understanding ofdata architecture,data governance, andanalytics platforms. Ability to leverage data for strategic insights, operational improvements, and decision-making. Experience implementing business intelligence tools and data ...

field (e.g., Mathematics, Natural Science, Engineering or Actuarial Science) A high interest in (Re-)Insurance and related actuarial science, modelling, exposure management and data analytics topics 3+ years’ experience in actuarial/modelling/software development Sound proficiency in a .NET language, C# preferred. Solid object-oriented programming skills Understanding ...

complex issues in a simple way. Team player, interested in sharing knowledge and helping to develop the team. Skills in data science, predictive modelling & analytics, machine learning, AI Required Education Qualified actuary (FIA) or holder of an equivalent qualification from a recognised actuarial professional body. Excellent academic qualifications including ...

clicking here. About the Team Enterprise Services comprises of multiple business platforms including Client Services, Global Business Operations, Business Architecture, Data Strategy and Analytics, and Digital Services, which report into the Chief of Enterprise Services. These grouped platforms enable the business to optimize delivery for clients, generate efficiencies and resilience ...

have Experience working within Construction Technology, Engineering or B2B SaaS. Familiarity with AI-enabled products or data-driven software platforms. Experience working with product analytics tools. Experience collaborating with distributed engineering teams. Understanding of UX research and experimentation techniques. You'll thrive here if... You're relentlessly curious about customers ...

tech start-up. Our goal is to provide the best client experience. Through the use of modern technologies centered on data and analytics, we provide customers with powerful tools that are grounded in value, transparency and simplicity to improve cash flow management efficiency. The Team The Digital Engineering team ...

CLS's Enterprise Data Management team aims to maximise the value of FX data to support corporate objectives. You will understand operational source data, design storage in the Enterprise Data Warehouse, and use analytical tools ...

Learning models and endpoints; Power BI dashboards and dataset refreshes. Monitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure Monitor, Log Analytics, and custom alerting. DevOps & Automation Maintain CI/CD pipelines using Azure DevOps, GitHub Actions, etc., for ADF, Databricks and ML model deployments. Develop automation … optimize, and troubleshoot SQL queries for data validation, root cause analysis, and report troubleshooting. Support and maintain data warehouse environments such as Azure Synapse Analytics, SQL Server/Azure SQL DB, Snowflake or BigQuery. Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCA Investigate ...