176 to 200 of 723 Analytics Jobs in Central London

technical concepts to non-technical stakeholders. What We’re Looking For 3+ years’ experience working with Python for data preparation, aggregation, and transformation. Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets (>1TB). Experience building NLP and Computer Vision products with engaged user More ❯

rapidly growing AI tech scale-up that’s expanding its team with a talented AI Engineer. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors including asset management, banking, retail, telecoms, supply chain, and utilities More ❯

strategy (user IDs, device IDs, email normalisation, consent flags). Advise on experiment targeting and measurement readiness (holdouts, lift, attribution inputs). Must-have experience 3 - 6+ years in analytics/marketing data roles with advanced SQL Proven work with CDP and/or reverse-ETL patterns and Braze. Strong data modelling in a modern warehouse and experience with dbt. More ❯

platforms (Snowflake, AWS fundamentals). Solid understanding of data architecture, warehousing, and modeling. Programming expertise: Python, Spark, SQL, API integration. Knowledge of ML/AI frameworks, MLOps, and advanced analytics concepts. Experience with CI/CD, data testing frameworks, and versioning strategies. Ability to work effectively in multi-team, vendor-integrated environments. Why This Role Join a global, transformative initiative More ❯

systems into Azure cloud environments. Collaborate with development teams to streamline code integration, testing, and deployment workflows. Implement robust monitoring and alerting using tools such as Azure Monitor , Log Analytics , and Application Insights . Troubleshoot infrastructure and deployment issues in production and non-production environments. Required Skills & Experience Proven experience as a DevOps Engineer with a strong focus on Microsoft More ❯

not just model accuracy. Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering More ❯

and risk management . Exceptional communicator with strategic influence across technical and executive teams. Desirable: Background in quantitative trading or software engineering . Familiarity with AI/ML , predictive analytics , and trading platforms (IB, MetaQuotes, B2B or C-Trader). Tech Stack: Linux-first environment on AWS . Core languages: C++ , Java , Python . Large-scale data lakes and HTML5 More ❯

queues, topics) or comparable enterprise messaging technologies Experience using Azure Logic Apps (or similar tools) for orchestration and workflow automation Understanding of API management , including governance, security, policies, and analytics Comfortable in cloud-native environments , with awareness of automation and modern deployment practices Excellent communication and problem-solving skills – able to turn complex integration challenges into elegant technical solutions If More ❯

/OAuth, MFA). Support CI/CD pipelines via Azure DevOps or GitHub Actions, troubleshoot builds, and manage YAML configurations. Implement observability best practices using Azure Monitor, Log Analytics, Application Insights, and dashboards (KQL and Datadog experience desirable). Ensure compliance and security through Microsoft Defender for Cloud, Azure Policy, Key Vault, and accepted frameworks (ISO 27001, SOC More ❯

Knowledge Graph & GenAI Lead London | Remote Up to £900 per day or Perm roles available for the best candidate. Global AI & analytics firm operating at the intersection of knowledge graphs, generative AI, and enterprise transformation. This role requires you to embed graph intelligence into mission-critical systems enabling explainable AI, unified data views, and advanced reasoning across regulated industries and More ❯

strategy , action planning , and delivering evidence-based recommendations . Outstanding communication skills - written, verbal, and visual — with an ability to craft compelling narratives. Familiarity with AI-driven tools , data analytics , or technology-enabled consulting is a strong plus. Experience in founder, partner, or senior leadership roles within consulting or strategy-driven organizations. Self-driven and collaborative, thriving in hybrid , cross More ❯

At this role level, you will: implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems document source-to-target mappings re-engineer manual data flows to enable scaling and repeatable use support the build of data streaming systems write ETL (extract, transform, load) scripts and code to ensure the ETL process performs optimally develop More ❯

Kubernetes-focused role, you'll help build and scale a bare-metal HPC platform for a broad spectrum of use cases – from latency-sensitive trading to big data and analytics – with the opportunity to expand into cloud where appropriate. What you’ll do: Design and manage highly available Kubernetes clusters across multiple datacentres Collaborate with Linux, infrastructure, and SOC/ More ❯

functionally with delivery teams, stakeholders, and vendors to align on technical vision and execution Influence and guide on best practices in data modelling, platform strategy, and pipeline design Support analytics and digital product teams through robust architecture and integration patterns Tech Environment & Tooling Deep focus on Microsoft Azure and associated services: Azure Data Factory, DataBricks, CosmosDB, Azure SQL Strong usage More ❯

field Bonus Skills Knowledge of data orchestration tools (e.g. Airflow) Background in Java or distributed data systems Prior exposure to large-scale infrastructure in data-heavy environments (e.g. trading, analytics, or research) Master’s degree in a technical discipline is welcome but not required If this role interests you and you would like to find out more (or find out More ❯

of financial services business models, regulatory landscape, and data challenges. Proven track record of delivering data transformation programs in complex environments. Strong knowledge of data governance, data architecture, and analytics platforms. Excellent stakeholder management, communication, and presentation skills. Experience working in or with consulting firms, Big 4, or boutique advisory practices. About Capgemini Capgemini is a global business and technology More ❯

cross-functional teams. 🧠 Tech Stack Familiarity AI/Automation: Conversational AI platforms, LLMs, agentic AI, RPA tools. Cloud: AWS, Azure, or Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics and reporting tools. 🎓 Preferred Experience & Certifications Background in Presales, Solutions Consulting, or Technical Architecture. Experience in AI-enabled customer experience transformation. Degree in Computer Science, AI, or related field (or More ❯

enhance performance, resilience, and data protection. About the Organisation The group operates a portfolio of innovative businesses across the property, housing, and data sectors. The group combines advanced data analytics, technology, and property expertise to deliver solutions ranging from affordable housing to real estate technology and instant home-sale services. The role involves collaborating with leadership and stakeholders across these More ❯

a similar role Loves teaching and seeing learners develop Thrives in a collaborative, innovative environment Is eager to continuously learn and improve As an industry leading, nationwide Marketing, Digital, Analytics, IT and Design recruitment agency, we are continually receiving new assignments to work on, so keep a close eye on our website, Facebook, LinkedIn and Twitter pages for a full More ❯

candidate pool to meet current and future hiring needs. Market Insights : Conduct competitive intelligence and talent mapping to remain ahead of market trends and strengthen strategic hiring decisions. Recruitment Analytics & Reporting : Provide regular updates to stakeholders through group reporting and internal dashboards, ensuring process optimization and accountability. Continuous Improvement: Drive improvements in candidate experience and optimize recruitment workflows for Business More ❯

These may include but are not limited to: Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, SaaS, UX and Web Development, APIs, Open Data, Automation, Insight and Analytics, Data Warehouse, Internet of Things, Mobile Apps, Machine Learning, DevOps, Data and Network Security. Please see the candidate pack for full details of the role. Diversity, equity and inclusion We More ❯

quality research documents in English. Learning how to produce short reports on technology vendors based on technology briefings. Working on consulting projects relating to industrial technologies including AI-based analytics, digital twins, predictive maintenance software, asset performance software, CMMS, etc. Attending Verdantix events and industry conferences. Developing trusted relationships with Verdantix clients. Supporting marketing efforts by writing blogs and engaging More ❯

in English. Learning how to produce short reports on technology vendors based on technology briefings. Working on consulting projects relating to real estate and building technologies including AI-based analytics, digital twins, predictive maintenance software, IoT platforms, convergence of IT and OT, building digital technology stack, etc. Attending Verdantix events and industry conferences. Developing trusted relationships with Verdantix clients. Supporting More ❯

solutions that unlock value for Cerberus desks, portfolio companies, and other businesses. You’ll do this by designing and implementing robust data architectures, pipelines, and workflows that enable advanced analytics and AI applications. You may also support initiatives such as due diligence and pricing analyses by ensuring high-quality, timely data availability. What you will do Design, build, and maintain … scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets. Collaborate with data scientists, analysts, and software engineers to ensure seamless data integration and availability for predictive modeling and business intelligence. Optimize … management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global More ❯

Head of Data Architecture Data is responsible for shaping, governing, and enabling data-centric solution design across the clients global technology landscape. The role ensures that all data and analytics solutions align to enterprise architecture principles, support the North Star vision, and deliver business value through trusted, connected, and governed data. Working across programmes such as UNIFY (SAP S/… 4HANA), Integrated Supply Chain (Blue Yonder), and Sales Excellence (Salesforce CGC), the role bridges business strategy, data architecture, and solution delivery to ensure a unified enterprise data fabric and analytics capability. Key Accountability's Solution Leadership Lead end-to-end data solution design across global initiatives, ensuring consistency with enterprise data architecture standards and integration principles. Translate business and information … requirements into scalable, secure, and performant data solutions leveraging the enterprise platforms (Azure, Databricks, Power BI, SAP BTP, Salesforce, etc.). Ensure data models, pipelines, and analytics solutions are built with reuse, interoperability, and data quality in mind. Enterprise Alignment Embed the Data & AI reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain More ❯